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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

FC4: Fully Convolutional Color Constancy with Confidence-weighted Pooling

Yuanming Hu, Baoyuan Wang, Stephen Lin

Computer Vision and Pattern Recognition (CVPR) | July 2017

Publication

Collaborative Deep Reinforcement Learning for Joint Object Search

Xiangyu Kong, Bo Xin, Gang Hua, Yizhou Wang

CVPR 2017 | July 2017

Publication

Specular Highlight Removal in Facial Images

Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi

Computer Vision and Pattern Recognition (CVPR) | July 2017

Publication

Semantic Compositional Networks for Visual Captioning

Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng

Computer Vision and Pattern Recognition (CVPR), 2017 (spotlight) | July 2017

Publication

StyleNet: Generating Attractive Visual Captions with Styles

Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng

Computer Vision and Pattern Recognition (CVPR), 2017 | July 2017

Publication

Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects

Ting Yao, Yingwei Pan, Yehao Li, Tao Mei

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | July 2017

Project

Event

Microsoft Research @ CVPR 2017

July 21, 2017 – July 26, 2017 | Honoluliu, Hawaii

Computer Vision and Pattern Recognition (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional…

Publication

Deep Quantization: Encoding Convolutional Activations with Deep Generative Model

Zhaofan Qiu, Ting Yao, Tao Mei

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | July 2017

Project

Publication

Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation

Yanhua Cheng, Rui Cai, Zhiwei Li (李志伟), Xin Zhao, Kaiqi Huang

Proc. of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) | July 2017

Publication

Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-grained Image Recognition (CVPR 2017 Oral)

Jianlong Fu (jianf), Heliang Zheng, Tao Mei

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | July 2017

Project

Computer Vision

Highlights