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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

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres

International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 2022) | December 2022

Project Project

Publication

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Jiahao Zhu, Daizong Liu, Pan Zhou, Yu Cheng, Song Yang, Wenzheng Xu, Yao Wan, Lichao Sun, Zeyu Xiong

Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) | December 2022

Publication

Could Giant Pre-trained Image Models Extract Universal Representations?

Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

Advances in Neural Information Processing Systems (NeurIPS) | December 2022

Publication

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Shuyang Gu

arXiv: Computer Vision and Pattern Recognition | December 2022

Publication

SCAMPS: Synthetics for Camera Measurement of Physiological Signals

Daniel McDuff, Jeremiah (Miah) Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis

Thirty-sixth Conference on Neural Information Processing Systems | November 2022

Publication

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang

NeurIPS 2022 | November 2022

Project

Publication

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji

Conference on Neural Information Processing Systems (NeurIPS) 2022 | November 2022

Publication

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering

Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan

Conference on Neural Information Processing Systems (NeurIPS) 2022 | November 2022

Project

Publication

TorchGeo: Deep Learning with Geospatial Data

Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee

ACM SIGSPATIAL 2022 | November 2022

Nominated for best paper

Project Project

Video

Designing AI Systems with Steerable Long-Term Dynamics

November 21, 2022 | Thorsten Joachims

The feedback that users provide through their choices (e.g. clicks, purchases) is one of the most common types of data readily available for training autonomous systems, and it is widely used in online platforms. However,…

01:38:56

Computer Vision

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