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Representation Consolidation for Training Expert Students


Jul 16, 2021
Zhizhong Li, Avinash Ravichandran, Charless Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto


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Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing


Jun 02, 2021
Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless Fowlkes


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A linearized framework and a new benchmark for model selection for fine-tuning


Jan 29, 2021
Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

* 14 pages 

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Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning


Jan 21, 2021
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Zhuowen Tu, Stefano Soatto


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When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding


Jul 08, 2020
Yunhan Zhao, Shu Kong, Charless Fowlkes


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Weak Supervision and Referring Attention for Temporal-Textual Association Learning


Jun 27, 2020
Zhiyuan Fang, Shu Kong, Zhe Wang, Charless Fowlkes, Yezhou Yang

* 12 pages, 6 figures 

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Celeganser: Automated Analysis of Nematode Morphology and Age


May 11, 2020
Linfeng Wang, Shu Kong, Zachary Pincus, Charless Fowlkes

* Computer Vision for Microscopy Image Analysis (CVMI) 2020 

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Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation


Feb 27, 2020
Yunhan Zhao, Shu Kong, Daeyun Shin, Charless Fowlkes

* Accepted at CVPR2020 

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Geometric Pose Affordance: 3D Human Pose with Scene Constraints


May 19, 2019
Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless Fowlkes

* $\href{https://wangzheallen.github.io/GPA.html}{Project Page}$ 

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Modularized Textual Grounding for Counterfactual Resilience


Apr 07, 2019
Zhiyuan Fang, Shu Kong, Charless Fowlkes, Yezhou Yang

* 13 pages, 12 figures, IEEE Conference on Computer Vision and Pattern Recognition, 2019 

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Multigrid Predictive Filter Flow for Unsupervised Learning on Videos


Apr 02, 2019
Shu Kong, Charless Fowlkes

* webpage (https://www.ics.uci.edu/~skong2/mgpff.html

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Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes


Mar 09, 2019
Hirak J Kashyap, Charless Fowlkes, Jeffrey L Krichmar

* With supplementary material 

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Task2Vec: Task Embedding for Meta-Learning


Feb 10, 2019
Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Stefano Soatto, Pietro Perona


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Image Reconstruction with Predictive Filter Flow


Nov 28, 2018
Shu Kong, Charless Fowlkes

* https://www.ics.uci.edu/~skong2/pff.html 

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Active Testing: An Efficient and Robust Framework for Estimating Accuracy


Jul 02, 2018
Phuc Nguyen, Deva Ramanan, Charless Fowlkes

* accepted to ICML 2018 

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Pixel-wise Attentional Gating for Parsimonious Pixel Labeling


May 03, 2018
Shu Kong, Charless Fowlkes


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Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model


May 02, 2018
Feng Zhou, Shu Kong, Charless Fowlkes, Tao Chen, Baiying Lei

* code: http://www.ics.uci.edu/~skong2/DimensionalEmotionModel.html 

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Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering


Jan 24, 2018
Zhe Wang, Xiaoyi Liu, Liangjian Chen, Limin Wang, Yu Qiao, Xiaohui Xie, Charless Fowlkes

* 8 pages, 5 figures, state-of-the-art VQA system; https://github.com/wangzheallen/STL-VQA 

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Recurrent Pixel Embedding for Instance Grouping


Dec 22, 2017
Shu Kong, Charless Fowlkes


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Recurrent Scene Parsing with Perspective Understanding in the Loop


Dec 06, 2017
Shu Kong, Charless Fowlkes


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Low-rank Bilinear Pooling for Fine-Grained Classification


Nov 30, 2016
Shu Kong, Charless Fowlkes


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Tracking Objects with Higher Order Interactions using Delayed Column Generation


Aug 09, 2016
Shaofei Wang, Steffen Wolf, Charless Fowlkes, Julian Yarkony


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Photo Aesthetics Ranking Network with Attributes and Content Adaptation


Jul 27, 2016
Shu Kong, Xiaohui Shen, Zhe Lin, Radomir Mech, Charless Fowlkes


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On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference


May 07, 2016
Anish Acharya, Uddipan Mukherjee, Charless Fowlkes


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Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification


May 03, 2016
Shu Kong, Surangi Punyasena, Charless Fowlkes

* CVMI 2016 

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The Open World of Micro-Videos


Apr 01, 2016
Phuc Xuan Nguyen, Gregory Rogez, Charless Fowlkes, Deva Ramanan


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Do We Need More Training Data?


Mar 05, 2015
Xiangxin Zhu, Carl Vondrick, Charless Fowlkes, Deva Ramanan


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