Vibhav Vineet

Principal Researcher

출판물

자료 보기:

- StreamReady: Learning What to Answer and When in Long Streaming Videos
  
  Shehreen Azad, Vibhav Vineet, Y. Rawat
  
  CVPR 2026 | March 2026
  
  Publication
- CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates
  
  Shresth Grover, P. Pathak, Akash Kumar, Vibhav Vineet, Y. S. Rawat
  
  December 2025
  
  Publication
- Fara-7B: An Efficient Agentic Model for Computer Use
  
  Ahmed Awadallah, Yash Lara, Raghav Magazine, Hussein Mozannar, Akshay Nambi, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Vibhav Vineet, Spencer Whitehead, Andrew Zhao
  
  MSR-TR-2025-54 | November 2025
  
  글쓴이 Microsoft
  
  PDF 액세스
- RiTTA: Modeling Event Relations in Text-to-Audio Generation
  
  Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
  
  Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Phi-4-reasoning Technical Report
  
  Marah Abdin, Sahaj Agarwal, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat Behl, Lingjiao Chen (lingjiaochen), Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
  
  April 2025
  
  Publication PDF 동영상 액세스
- Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead
  
  Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
  
  MSR-TR-2025-16 | March 2025
  
  글쓴이 Microsoft
  
  Publication Github
- Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
  
  Vibhav Vineet, Xin Wang, Neel Joshi
  
  2024 Neural Information Processing Systems | December 2024
  
  Publication
- Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
  
  Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, S. Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
  
  ICLR 2025 | October 2024
  
  DOI Publication Publication Github
- EUREKA: Evaluating and Understanding Large Foundation Models
  
  Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
  
  MSR-TR-2024-33 | September 2024
  
  글쓴이 Microsoft
  
  Preprint Github
- Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
  
  Joykirat Singh, Akshay Nambi, Vibhav Vineet
  
  June 2024
  
  Preprint
- Peekaboo: Interactive video generation via masked-diffusion
  
  Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Invited Talk at Holistic Video Understanding Workshop, CVPR 2024
  
  DOI Publication PDF
- PEEKABOO: Interactive Video Generation via Masked-Diffusion
  
  Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
  
  CVPR 2024 | December 2023
  
  Invited Talk at Holistic Video Understanding Workshop, CVPR 2024
  
  DOI Publication Publication
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  2023 Neural Information Processing Systems | December 2023
  
  DOI Publication Publication
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  NeurIPS 2023 | October 2023
  
  Publication
- PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
  
  Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
  
  CoRL 2023 | June 2023
  
  Publication
- Benchmarking Spatial Relationships in Text-to-Image Generation
  
  Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
  
  MSR-TR-2023-44 | May 2023
  
  글쓴이 Microsoft
  
  Publication Github
- A Large-scale Robustness Analysis of Video Action Recognition Models
  
  Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Rawat
  
  April 2023
  
  Publication
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
  
  Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Image Retrieval from Contextual Descriptions
  
  Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Ponti, Siva Reddy
  
  ACL 2022 | May 2022
  
  Publication
- Missingness Bias in Model Debugging
  
  Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
  
  ICLR 2022 | April 2022
  
  Publication
- CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
  
  Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
  
  June 2021
  
  Preprint under review
  
  Publication Github
- Depth Completion Using a View-constrained Deep Prior
  
  Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi
  
  2020 International Conference on 3D Vision | October 2020
  
  DOI
- RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
  
  Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
  
  3DV | October 2020
  
  Publication
- FAST Depth Completion using a view Constrained Deep Prior
  
  3DV | October 2020
  
  Publication
- AutoSimulate: (Quickly) Learning Synthetic Data Generation
  
  Harkirat Singh Behl, Atılım Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet
  
  16th European Conference Computer Vision (ECCV 2020) | August 2020
  
  Publication
- Fast acoustic scattering using convolutional neural networks
  
  Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
  
  ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing | May 2020
  
  PDF 프로젝트
- Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  
  Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor
  
  In submission | March 2020
  
  Publication PDF 동영상 Github 프로젝트
- Photorealistic Image Synthesis For Object Instance Detection
  
  Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta Sinha, Brian Guenter
  
  IEEE International Conference on Image Processing | September 2019
  
  Publication
- Privacy Preserving Action Recognition using Coded Aperture Videos
  
  Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta Sinha, Oliver Cossairt, Sing Bing Kang
  
  The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2019) | June 2019
  
  Publication
- Feature Space Optimization for Semantic Video Segmentation
  
  Abhijit Kundu, Vibhav Vineet, Vladlen Koltun
  
  July 2016
  
  출판
- Playing for Data: Ground Truth from Computer Games
  
  Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
  
  July 2016
  
  출판
- Dense Monocular Depth Estimation in Complex Dynamic Scenes
  
  Vladlen Koltun, Qifeng Chen, Vibhav Vineet, Rene Ranftl
  
  April 2016
  
  출판
- Incremental Dense Multi-modal 3D Scene Reconstruction
  
  Philip H. S. Torr, Vibhav Vineet, Yousef Amar, Ondrej Miksik
  
  July 2015
  
  출판

- StreamReady: Learning What to Answer and When in Long Streaming Videos
  
  Shehreen Azad, Vibhav Vineet, Y. Rawat
  
  CVPR 2026 | March 2026
  
  Publication
- CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates
  
  Shresth Grover, P. Pathak, Akash Kumar, Vibhav Vineet, Y. S. Rawat
  
  December 2025
  
  Publication
- EUREKA: Evaluating and Understanding Large Foundation Models
  
  Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
  
  MSR-TR-2024-33 | September 2024
  
  글쓴이 Microsoft
  
  Preprint Github
- Peekaboo: Interactive video generation via masked-diffusion
  
  Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Invited Talk at Holistic Video Understanding Workshop, CVPR 2024
  
  DOI Publication PDF
- PEEKABOO: Interactive Video Generation via Masked-Diffusion
  
  Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
  
  CVPR 2024 | December 2023
  
  Invited Talk at Holistic Video Understanding Workshop, CVPR 2024
  
  DOI Publication Publication
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  2023 Neural Information Processing Systems | December 2023
  
  DOI Publication Publication
- A Large-scale Robustness Analysis of Video Action Recognition Models
  
  Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Rawat
  
  April 2023
  
  Publication
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
  
  Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
  
  Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
  
  June 2021
  
  Preprint under review
  
  Publication Github
- Depth Completion Using a View-constrained Deep Prior
  
  Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi
  
  2020 International Conference on 3D Vision | October 2020
  
  DOI
- RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
  
  Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
  
  3DV | October 2020
  
  Publication
- FAST Depth Completion using a view Constrained Deep Prior
  
  3DV | October 2020
  
  Publication
- AutoSimulate: (Quickly) Learning Synthetic Data Generation
  
  Harkirat Singh Behl, Atılım Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet
  
  16th European Conference Computer Vision (ECCV 2020) | August 2020
  
  Publication
- Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  
  Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor
  
  In submission | March 2020
  
  Publication PDF 동영상 Github 프로젝트
- Photorealistic Image Synthesis For Object Instance Detection
  
  Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta Sinha, Brian Guenter
  
  IEEE International Conference on Image Processing | September 2019
  
  Publication
- Privacy Preserving Action Recognition using Coded Aperture Videos
  
  Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta Sinha, Oliver Cossairt, Sing Bing Kang
  
  The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2019) | June 2019
  
  Publication
- Fara-7B: An Efficient Agentic Model for Computer Use
  
  Ahmed Awadallah, Yash Lara, Raghav Magazine, Hussein Mozannar, Akshay Nambi, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Vibhav Vineet, Spencer Whitehead, Andrew Zhao
  
  MSR-TR-2025-54 | November 2025
  
  글쓴이 Microsoft
  
  PDF 액세스
- RiTTA: Modeling Event Relations in Text-to-Audio Generation
  
  Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
  
  Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Phi-4-reasoning Technical Report
  
  Marah Abdin, Sahaj Agarwal, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat Behl, Lingjiao Chen (lingjiaochen), Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
  
  April 2025
  
  Publication PDF 동영상 액세스
- Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead
  
  Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
  
  MSR-TR-2025-16 | March 2025
  
  글쓴이 Microsoft
  
  Publication Github
- Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
  
  Vibhav Vineet, Xin Wang, Neel Joshi
  
  2024 Neural Information Processing Systems | December 2024
  
  Publication
- Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
  
  Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, S. Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
  
  ICLR 2025 | October 2024
  
  DOI Publication Publication Github
- EUREKA: Evaluating and Understanding Large Foundation Models
  
  Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
  
  MSR-TR-2024-33 | September 2024
  
  글쓴이 Microsoft
  
  Preprint Github
- Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
  
  Joykirat Singh, Akshay Nambi, Vibhav Vineet
  
  June 2024
  
  Preprint
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  2023 Neural Information Processing Systems | December 2023
  
  DOI Publication Publication
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  NeurIPS 2023 | October 2023
  
  Publication
- PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
  
  Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
  
  CoRL 2023 | June 2023
  
  Publication
- Benchmarking Spatial Relationships in Text-to-Image Generation
  
  Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
  
  MSR-TR-2023-44 | May 2023
  
  글쓴이 Microsoft
  
  Publication Github
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
  
  Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Missingness Bias in Model Debugging
  
  Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
  
  ICLR 2022 | April 2022
  
  Publication
- CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
  
  Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
  
  June 2021
  
  Preprint under review
  
  Publication Github
- Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  
  Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor
  
  In submission | March 2020
  
  Publication PDF 동영상 Github 프로젝트
- RiTTA: Modeling Event Relations in Text-to-Audio Generation
  
  Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Fast acoustic scattering using convolutional neural networks
  
  Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
  
  ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing | May 2020
  
  PDF 프로젝트
- EUREKA: Evaluating and Understanding Large Foundation Models
  
  Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
  
  MSR-TR-2024-33 | September 2024
  
  글쓴이 Microsoft
  
  Preprint Github
- Image Retrieval from Contextual Descriptions
  
  Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Ponti, Siva Reddy
  
  ACL 2022 | May 2022
  
  Publication
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
  
  Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Feature Space Optimization for Semantic Video Segmentation
  
  Abhijit Kundu, Vibhav Vineet, Vladlen Koltun
  
  July 2016
  
  출판
- Dense Monocular Depth Estimation in Complex Dynamic Scenes
  
  Vladlen Koltun, Qifeng Chen, Vibhav Vineet, Rene Ranftl
  
  April 2016
  
  출판
- Incremental Dense Multi-modal 3D Scene Reconstruction
  
  Philip H. S. Torr, Vibhav Vineet, Yousef Amar, Ondrej Miksik
  
  July 2015
  
  출판
- Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  
  Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor
  
  In submission | March 2020
  
  Publication PDF 동영상 Github 프로젝트
- Playing for Data: Ground Truth from Computer Games
  
  Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
  
  July 2016
  
  출판
- Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  
  Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor
  
  In submission | March 2020
  
  Publication PDF 동영상 Github 프로젝트
- Dense Monocular Depth Estimation in Complex Dynamic Scenes
  
  Vladlen Koltun, Qifeng Chen, Vibhav Vineet, Rene Ranftl
  
  April 2016
  
  출판
- Playing for Data: Ground Truth from Computer Games
  
  Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
  
  July 2016
  
  출판

- StreamReady: Learning What to Answer and When in Long Streaming Videos
  
  Shehreen Azad, Vibhav Vineet, Y. Rawat
  
  CVPR 2026 | March 2026
  
  Publication
- RiTTA: Modeling Event Relations in Text-to-Audio Generation
  
  Yuhang He, Yash Jain, Xubo Liu, Andrew Markham, Vibhav Vineet
  
  2025 Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
  
  Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
  
  Vibhav Vineet, Xin Wang, Neel Joshi
  
  2024 Neural Information Processing Systems | December 2024
  
  Publication
- Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
  
  Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, S. Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
  
  ICLR 2025 | October 2024
  
  DOI Publication Publication Github
- Peekaboo: Interactive video generation via masked-diffusion
  
  Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
  
  2024 Computer Vision and Pattern Recognition | June 2024
  
  Invited Talk at Holistic Video Understanding Workshop, CVPR 2024
  
  DOI Publication PDF
- PEEKABOO: Interactive Video Generation via Masked-Diffusion
  
  Yash Jain, Anshul Nasery, Vibhav Vineet, Harkirat Behl
  
  CVPR 2024 | December 2023
  
  Invited Talk at Holistic Video Understanding Workshop, CVPR 2024
  
  DOI Publication Publication
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  2023 Neural Information Processing Systems | December 2023
  
  DOI Publication Publication
- DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
  
  Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
  
  NeurIPS 2023 | October 2023
  
  Publication
- PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
  
  Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
  
  CoRL 2023 | June 2023
  
  Publication
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
  
  Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
  
  2022 Neural Information Processing Systems | October 2022
  
  Publication
- Image Retrieval from Contextual Descriptions
  
  Benno Krojer, Vaibhav Adlakha, Vibhav Vineet, Yash Goyal, Edoardo Ponti, Siva Reddy
  
  ACL 2022 | May 2022
  
  Publication
- Missingness Bias in Model Debugging
  
  Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
  
  ICLR 2022 | April 2022
  
  Publication
- Depth Completion Using a View-constrained Deep Prior
  
  Pallabi Ghosh, Vibhav Vineet, Larry S. Davis, Abhinav Shrivastava, Sudipta Sinha, Neel Joshi
  
  2020 International Conference on 3D Vision | October 2020
  
  DOI
- RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs
  
  Zhiwei Xu, Thalaiyasingam Ajanthan, Vibhav Vineet, Richard I. Hartley
  
  3DV | October 2020
  
  Publication
- FAST Depth Completion using a view Constrained Deep Prior
  
  3DV | October 2020
  
  Publication
- AutoSimulate: (Quickly) Learning Synthetic Data Generation
  
  Harkirat Singh Behl, Atılım Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet
  
  16th European Conference Computer Vision (ECCV 2020) | August 2020
  
  Publication
- Fast acoustic scattering using convolutional neural networks
  
  Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
  
  ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing | May 2020
  
  PDF 프로젝트
- Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
  
  Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, Ashish Kapoor
  
  In submission | March 2020
  
  Publication PDF 동영상 Github 프로젝트
- Photorealistic Image Synthesis For Object Instance Detection
  
  Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta Sinha, Brian Guenter
  
  IEEE International Conference on Image Processing | September 2019
  
  Publication
- Privacy Preserving Action Recognition using Coded Aperture Videos
  
  Zihao W. Wang, Vibhav Vineet, Francesco Pittaluga, Sudipta Sinha, Oliver Cossairt, Sing Bing Kang
  
  The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2019) | June 2019
  
  Publication
- Feature Space Optimization for Semantic Video Segmentation
  
  Abhijit Kundu, Vibhav Vineet, Vladlen Koltun
  
  July 2016
  
  출판
- Playing for Data: Ground Truth from Computer Games
  
  Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
  
  July 2016
  
  출판
- Dense Monocular Depth Estimation in Complex Dynamic Scenes
  
  Vladlen Koltun, Qifeng Chen, Vibhav Vineet, Rene Ranftl
  
  April 2016
  
  출판
- Incremental Dense Multi-modal 3D Scene Reconstruction
  
  Philip H. S. Torr, Vibhav Vineet, Yousef Amar, Ondrej Miksik
  
  July 2015
  
  출판
- CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates
  
  Shresth Grover, P. Pathak, Akash Kumar, Vibhav Vineet, Y. S. Rawat
  
  December 2025
  
  Publication
- Fara-7B: An Efficient Agentic Model for Computer Use
  
  Ahmed Awadallah, Yash Lara, Raghav Magazine, Hussein Mozannar, Akshay Nambi, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Vibhav Vineet, Spencer Whitehead, Andrew Zhao
  
  MSR-TR-2025-54 | November 2025
  
  글쓴이 Microsoft
  
  PDF 액세스
- Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead
  
  Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
  
  MSR-TR-2025-16 | March 2025
  
  글쓴이 Microsoft
  
  Publication Github
- EUREKA: Evaluating and Understanding Large Foundation Models
  
  Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
  
  MSR-TR-2024-33 | September 2024
  
  글쓴이 Microsoft
  
  Preprint Github
- Benchmarking Spatial Relationships in Text-to-Image Generation
  
  Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
  
  MSR-TR-2023-44 | May 2023
  
  글쓴이 Microsoft
  
  Publication Github
- Phi-4-reasoning Technical Report
  
  Marah Abdin, Sahaj Agarwal, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat Behl, Lingjiao Chen (lingjiaochen), Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
  
  April 2025
  
  Publication PDF 동영상 액세스
- Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
  
  Joykirat Singh, Akshay Nambi, Vibhav Vineet
  
  June 2024
  
  Preprint
- A Large-scale Robustness Analysis of Video Action Recognition Models
  
  Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Rawat
  
  April 2023
  
  Publication
- CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning
  
  Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
  
  June 2021
  
  Preprint under review
  
  Publication Github

Vibhav Vineet

출판물

StreamReady: Learning What to Answer and When in Long Streaming Videos

CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates

Fara-7B: An Efficient Agentic Model for Computer Use

RiTTA: Modeling Event Relations in Text-to-Audio Generation

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Phi-4-reasoning Technical Report

Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models

EUREKA: Evaluating and Understanding Large Foundation Models

Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning

Peekaboo: Interactive video generation via masked-diffusion

PEEKABOO: Interactive Video Generation via Masked-Diffusion

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining

Benchmarking Spatial Relationships in Text-to-Image Generation

A Large-scale Robustness Analysis of Video Action Recognition Models

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations

Image Retrieval from Contextual Descriptions

Missingness Bias in Model Debugging

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning

Depth Completion Using a View-constrained Deep Prior

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

FAST Depth Completion using a view Constrained Deep Prior

AutoSimulate: (Quickly) Learning Synthetic Data Generation

Fast acoustic scattering using convolutional neural networks

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

Photorealistic Image Synthesis For Object Instance Detection

Privacy Preserving Action Recognition using Coded Aperture Videos

Feature Space Optimization for Semantic Video Segmentation

Playing for Data: Ground Truth from Computer Games

Dense Monocular Depth Estimation in Complex Dynamic Scenes

Incremental Dense Multi-modal 3D Scene Reconstruction

StreamReady: Learning What to Answer and When in Long Streaming Videos

CoSPlan: Corrective Sequential Planning via Scene Graph Incremental Updates

EUREKA: Evaluating and Understanding Large Foundation Models

Peekaboo: Interactive video generation via masked-diffusion

PEEKABOO: Interactive Video Generation via Masked-Diffusion

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

A Large-scale Robustness Analysis of Video Action Recognition Models

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning

Depth Completion Using a View-constrained Deep Prior

RANP: Resource Aware Neuron Pruning at Initialization for 3D CNNs

FAST Depth Completion using a view Constrained Deep Prior

AutoSimulate: (Quickly) Learning Synthetic Data Generation

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

Photorealistic Image Synthesis For Object Instance Detection

Privacy Preserving Action Recognition using Coded Aperture Videos

Fara-7B: An Efficient Agentic Model for Computer Use

RiTTA: Modeling Event Relations in Text-to-Audio Generation

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Phi-4-reasoning Technical Report

Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models

EUREKA: Evaluating and Understanding Large Foundation Models

Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining

Benchmarking Spatial Relationships in Text-to-Image Generation

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations

Missingness Bias in Model Debugging

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

RiTTA: Modeling Event Relations in Text-to-Audio Generation

Fast acoustic scattering using convolutional neural networks

EUREKA: Evaluating and Understanding Large Foundation Models

Image Retrieval from Contextual Descriptions

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations

Feature Space Optimization for Semantic Video Segmentation

Dense Monocular Depth Estimation in Complex Dynamic Scenes

Incremental Dense Multi-modal 3D Scene Reconstruction

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations

Playing for Data: Ground Truth from Computer Games

Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations