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Computer Vision

Enabling computers and devices to understand what they see.

Microsoft at CVPR 2024: Innovations in computer vision and AI research

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Exploring how context, culture, and character matter in avatar research

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

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Published Date

Publication

Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations

Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada

European Conference on Computer Vision (ECCV) | October 2022

Publication

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

The European Conference on Computer Vision (ECCV) | October 2022

Video Access Access Project

Publication

RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi

Nature Scientific Reports | October 2022

Publication

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato

European Conference on Computer Vision (ECCV) | October 2022

Publication

LaMAR: Benchmarking Localization and Mapping for Augmented Reality

Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys

ECCV 2022 | October 2022

Publication

DaViT: Dual Attention Vision Transformers

Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan

European Conference on Computer Vision (ECCV 2022) | October 2022

Publication

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

Che Wang, Xufang Luo, Keith Ross, Dongsheng Li

2022 Neural Information Processing Systems | September 2022

Publication

PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training

Rogerio Bonatti, Sai Vemprala, Shuang Ma, Felipe Vieira Frujeri, Shuhang Chen, Ashish Kapoor

IROS 2023 | September 2022

MoBT 17.1 / MoBIP 17.1

Publication

Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning

Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng

2022 Neural Information Processing Systems | September 2022

Project

Visual Foundation Model

Almost all computer vision applications require basic architectural modeling and pre-training techniques. The project aims to advance these fundamental technologies that can find a wide range of applications related to computer vision. Over the past…

Computer Vision

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