Submissions from 2021
Locality Sensitive Teaching, Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, and Anshumali Shrivastava
Knowledge-Aware Meta-Learning for Low-Resource Text Classification, Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, and Eric P. Xing
Improving Text-To-Image Synthesis Using Contrastive Learning, Hui Ye, Xiulong Yang, Martin Takáč, Raj Sunderraman, and Shihao Ji
Roma: Robust Model Adaptation for Offline Model-Based Optimization, Sihyun Yu, Sung-soo Ahn, Le Song, and Jinwoo Shin
Learning Sampling Policy for Faster Derivative Free Optimization, Zhou Zhai, Bin Gu, and Heng Huang
Towards Principled Disentanglement for Domain Generalization, Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, and Eric P. Xing
Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, and Emine Yilmaz
A Biased Graph Neural Network Sampler with Near-Optimal Regret, Qingru Zhang, David Wipf, Quan Gan, and Le Song
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm, Qingsong Zhang, Bin Gu, Zhiyuan Dang, and Cheng Deng
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, and Heng Huang
Secure Bilevel Asynchronous Vertical Federated Learning With Backward Updating, Qingsong Zhang, Bin Gu, Cheng Deng, and Heng Huang
CausalAdv: Adversarial Robustness through the Lens of Causality, Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, and Kun Zhang
Molecular Attributes Transfer from Non-Parallel Data, Shuangjia Zheng, Ying Song, Pan Zhang, Le Song, Chengtao Li, and Yuedong Yang
Learning to Learn Variational Semantic Memory, Xiantong Zhen, Yingjun Du, Huan Xiong, Cees G.M. Snoek, and Ling Shao
On the Generation of Medical Dialogs for COVID-19, Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, and Pengtao Xie
Submissions from 2020
Inexact Tensor Methods and Their Application to Stochastic Convex Optimization, Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky, Alexander Gasnikov, and Martin Takac
Learning Attentive and Hierarchical Representations for 3D Shape Recognition, Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, and Ling Shao
Deep Local Binary Coding for Person Re-Identification by Delving into the Details, Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, and Ling Shao
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers, Xingping Dong, Jianbing Shen, Ling Shao, and Fatih Porikli
Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, and Ling Shao
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, Deng Ping Fan, Ge Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network, Deng Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, and Ling Shao
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, Deng Ping Fan, Tao Zhou, Ge Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, and Ling Shao
A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism, Pengcheng Gao, Ke Lu, Jian Xue, Ling Shao, and Jiayi Lyu
NLH: A Blind Pixel-Level Non-Local Method for Real-World Image Denoising, Yingkun Hou, Jun Xu, Mingxia Liu, Guanghai Liu, Li Liu, Fan Zhu, and Ling Shao
Layer-Wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs, Lei Huang, Jie Qin, Li Liu, Fan Zhu, and Ling Shao
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis, Yawen Huang, Feng Zheng, Runmin Cong, Weilin Huang, Matthew R. Scott, and Ling Shao
Interpretable and Generalizable Person Re-identification with Query-Adaptive Convolution and Temporal Lifting, Shengcai Liao and Ling Shao
Box Guided Convolution for Pedestrian Detection, Jinpeng Li, Shengcai Liao, Hangzhi Jiang, and Ling Shao
Interpretable Neural Network Decoupling, Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, and Ling Shao
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance, Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean Philippe Thiran, and Ling Shao
On the Convergence of Continuous Constrained Optimization for Structure Learning, Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, and Kun Zhang
Invertible Zero-Shot Recognition Flows, Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, and Ling Shao
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning, Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, and Eric Xing
Progressive generation of long text with pretrained language models, Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, and Zhiting Hu
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification, Yanan Wang, Shengcai Liao, and Ling Shao
Region Graph Embedding Network for Zero-Shot Learning, Guo Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, and Ling Shao
On the Number of Linear Regions of Convolutional Neural Networks, Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, and Ling Shao
STAR: A Structure and Texture Aware Retinex Model, Jun Xu, Yingkun Hou, Dongwei Ren, Li Liu, Fan Zhu, Mengyang Yu, Haoqian Wang, and Ling Shao
Pixel-level non-local image smoothing with objective evaluation, Jun Xu, Zhi Ang Liu, Ying Kun Hou, Xian Tong Zhen, Ling Shao, and Ming Ming Cheng
Video scene parsing: An overview of deep learning methods and datasets, Xiyu Yan, Huihui Gong, Yong Jiang, Shu Tao Xia, Feng Zheng, Xinge You, and Ling Shao
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification, Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, and Jiebo Luo
Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning, Mang Ye, Jianbing Shen, and Ling Shao
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification, Fang Zhao, Shengcai Liao, Guo Sen Xie, Jian Zhao, Kaihao Zhang, and Ling Shao
Human parsing based texture transfer from single image to 3D human via cross-view consistency, Fang Zhao, Shengcai Liao, Kaihao Zhang, and Ling Shao
Learning to learn kernels with variational random features, Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, and Cees Snoek
M2Net : Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients, Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, and Ling Shao
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering, Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, and Ling Shao