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Robust Object Detection via Instance-Level Temporal Cycle Confusion


Apr 16, 2021
Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell


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Warp Consistency for Unsupervised Learning of Dense Correspondences


Apr 08, 2021
Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool

* code: https://github.com/PruneTruong/DenseMatching 

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Monocular Quasi-Dense 3D Object Tracking


Mar 12, 2021
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun

* 24 pages, 14 figures, including appendix (6 pages) 

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Exploring Cross-Image Pixel Contrast for Semantic Segmentation


Feb 11, 2021
Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool

* Our code will be available at https://github.com/tfzhou/ContrastiveSeg 

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Instance-Aware Predictive Navigation in Multi-Agent Environments


Jan 14, 2021
Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu


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Quasi-Dense Instance Similarity Learning


Jun 11, 2020
Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu

* SOTAs on multiple object tracking and one-shot object detection 

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Frustratingly Simple Few-Shot Object Detection


Mar 16, 2020
Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu

* 12 pages, 8 figures 

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Task-Aware Deep Sampling for Feature Generation


Jun 11, 2019
Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez

* 12 pages, 6 figures 

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TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning


Apr 11, 2019
Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez

* Accepted at CVPR 2019 

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Deep Object-Centric Policies for Autonomous Driving


Mar 01, 2019
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell

* Accepted at ICRA 2019 

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Hierarchical Discrete Distribution Decomposition for Match Density Estimation


Dec 29, 2018
Zhichao Yin, Trevor Darrell, Fisher Yu


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Few-shot Object Detection via Feature Reweighting


Dec 05, 2018
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell


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Disentangling Propagation and Generation for Video Prediction


Dec 02, 2018
Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell


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Joint Monocular 3D Vehicle Detection and Tracking


Dec 02, 2018
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu

* 14 pages, 11 figures. Fix table values misplacement and typos. All the results unchanged 

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Deep Object Centric Policies for Autonomous Driving


Nov 13, 2018
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell


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Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation


Oct 11, 2018
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song

* Accepted to ECCV 2018 

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SkipNet: Learning Dynamic Routing in Convolutional Networks


Jul 25, 2018
Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez

* ECCV 2018 Camera ready version. Code is available at https://github.com/ucbdrive/skipnet 

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IDK Cascades: Fast Deep Learning by Learning not to Overthink


Jun 27, 2018
Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez

* UAI 2018 camera ready 

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Deep Mixture of Experts via Shallow Embedding


Jun 05, 2018
Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez

* 14 pages, 8 figures, under review at NIPS 2018 

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BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling


May 12, 2018
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell


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TextureGAN: Controlling Deep Image Synthesis with Texture Patches


Apr 14, 2018
Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays

* CVPR 2018 spotlight 

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Reinforcement Learning from Imperfect Demonstrations


Feb 14, 2018
Yang Gao, Huazhe, Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell


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Interactive 3D Modeling with a Generative Adversarial Network


Jan 07, 2018
Jerry Liu, Fisher Yu, Thomas Funkhouser

* Published at International Conference on 3D Vision 2017 (http://irc.cs.sdu.edu.cn/3dv/index.html

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Deep Layer Aggregation


Jan 04, 2018
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell


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End-to-end Learning of Driving Models from Large-scale Video Datasets


Jul 23, 2017
Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell

* camera ready for CVPR2017 

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Dilated Residual Networks


May 28, 2017
Fisher Yu, Vladlen Koltun, Thomas Funkhouser

* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2017) 

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FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation


Dec 08, 2016
Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell


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Scribbler: Controlling Deep Image Synthesis with Sketch and Color


Dec 05, 2016
Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu, James Hays

* 13 pages, 14 figures 

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