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Computer vision

Teaching machines to interpret and reason about the visual world, from object recognition to medical imaging.

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

Visual Style Extraction from Chart Images for Chart Restyling

Danqing Huang, Jinpeng Wang, Guoxin Wang, Chin-Yew Lin

25th International Conference on Pattern Recognition (ICPR2020) | January 2021

Publication

ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework

Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin

2021 IEEE Winter Conference on Applications of Computer Vision (WACV) | January 2021

Video

#TWIMLfest: Accessibility and Computer Vision

January 4, 2021 | Meredith Ringel Morris

Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. Engaging with digital imagery…

Publication

High-resolution Land Cover Change from Low-resolution Labels: Simple Baselines for the 2021 IEEE GRSS Data Fusion Contest

Nikolay Malkin, Caleb Robinson, Nebojsa Jojic

January 2021

Project Project Project

Publication

CASINet: Content-Adaptive Scale Interaction Networks for scene parsing

Xin Jin, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen

Neurocomputing | January 2021, Vol 419: pp. 9-22

Publication

A Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations

Naoki Wake, Riku Arakawa, Iori Yanokura, Takuya Kiyokawa, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi

IEEE/SICE International Symposium on System Integration | January 2021

SICE Young Investigator Award

Project

Publication

Neighborhood Geometric Structure Preserving Variational Auto-Encoder for Smooth and Bounded Data Sources

Xingyu Chen, Chunyu Wang, Xuguang Lan, Nanning Zheng, Wenjun Zeng

IEEE Transactions on Neural Networks and Learning Systems (to appear) | January 2021

Publication

Causal Contextual Prediction for Learned Image Compression

Zongyu Guo, Zhizheng Zhang, Runsen Feng, Zhibo Chen

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2021) | January 2021, pp. 1-1

Publication

Self-supervised Pre-training with Hard Examples Improves Visual Representations.

Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao

December 2020

arXiv | December 2020

Publication

Global Context Networks

Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) | December 2020

Computer vision

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