Tingyu Wang

Tingyu Wang

Assistant Researcher at Hangzhou Dianzi University

Seminar

Seminars@UTS

NoDateTitle/TopicSpeaker
127 Jan 2018Human Parsing [slide]Yawei Luo
227 Jan 2018Learning to Compare: Relation Network for Few-Shot Learning [slide]Yifan Sun
33 Feb 2018Progressive Growing of GANS for Improved Quality, Stability, and Variation [slide]Zhedong Zheng
43 Feb 2018Network Dissection [slide]Xiaolin Zhang
510 Feb 2018Breaking the Softmax Bottleneck:a High-Rank RNN Language Model [pdf]Xuanyi Dong
610 Feb 2018Clockwork Convnets for Video Semantic Segmentation [slide]Guang Li
717 Feb 2018Self-ensembling for Visual Domain Adpation [slide]Zhun Zhong
817 Feb 2018Multi-scale Dense Networks [slide]Qingji Guan
924 Feb 2018Optimizer [slide]Yu Wu
1024 Feb 2018Semantic Segmentation with Limited Annotation [slide]Zhedong Zheng
113 Mar 2018Good Semi-supervised Learning that Requires a Bad GAN [slide]Weijian Deng
1224 Mar 2018Mix-and-Match Tuning for Self-Supervised Semantic Segmentation [slide]Yawei Luo
1324 Mar 2018Matching networks for one shot learning & Group Normalization [slide1] [slide2]Fengda Zhu
1431 Mar 2018Adversarial Samples [slide]Zhedong Zheng
157 Apr 2018Visual Caption [slide]Guang Li
167 Apr 2018Be your own prada [slide]Guangrui Li
1714 Apr 2018Visualize CNN [slide]Yuhang Ding
1814 Apr 2018Spectralnet and Ncut Loss [slide]Kun Zhan
1929 Apr 2018Nonlocal Neural Network [slide]Fan Ma
2029 Apr 2018Hashing Code [slide]Jiaxu Miao
216 May 2018Boosting Domain Adaption [paper]Zhun Zhong
226 May 2018Model Ensemble [paper1] [paper2] [paper3]Xuanyi Dong
2327 May 2018Autoencoding beyond pixels using a learned similarity metric [paper]Guang Li
2427 May 2018Continuous Adapation via Meta Learning [slide]Jiaxu Miao
253 June 2018Rethinking the Faster R-CNN Architecture for Temporal Action Localization && Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset [paper1] [paper2]Fan Ma
263 June 2018Learning to Count Objects in Natural Images for Visual Question Answering [paper]Fengda Zhu
2710 June 2018Self-Attention Generative Adversarial Networks [paper]Guangrui Li
2810 June 2018Unbiased look at dataset bias [paper]Yuhang Ding
2917 June 2018Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation [slide]Yawei Luo
3017 June 2018Video as Spatial-temporal Graphs [slide]Qingji Guan
3124 June 2018Boosting Independent Embeddings Robustly [slide]Yifan Sun
321 July 2018Semi-supervised Classification with Graph Convolutional Networks [slide]Yuhang Ding
331 July 2018Ensemble Adversarial Training: Attacks and Defenses [pdf]Zhedong Zheng
348 July 2018Dense Pose [slide]Guangrui Li
358 July 2018Shake-Shake & Shake-Drop [slide]Ruijie Quan
3615 July 2018DARTS: Differentiable Architecture Search [paper]Xuanyi Dong
3715 July 2018Pancreas Segmentation [slide]Kun Zhan
3822 July 2018An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution [paper]Fan Ma
3922 July 2018Unsupervised Image-to-Image Translation [slide]Weijian Deng
405 Aug 2018Stacked WHAT-where auto-encoders [slide]Ruijie Quan
415 Aug 2018Comparator Networks [slide]Qinji Guan
4212 Aug 2018Diverse Image-to-Image Translation via Disentangled Representations [paper]Zhun Zhong
4312 Aug 2018Glow: Generative Flow with Invertible 1x1 Convolutions [paper]Yuhang Ding
4419 Aug 2018Controllabel Image to Video [slide]Jiaxu Miao
4519 Aug 2018NICE: Non-linear Independent Components Estimation [paper]Guangrui Li
4626 Aug 2018Breaking the Softmax Bottleneck: A High-Rank RNN Language Model [paper]Guang Li
4726 Aug 2018Asynchronous Methods for Deep Reinforcement Learning [paper]Fengda Zhu
489 Sept 2018Smoothing Constriants [slide]Yifan Sun
499 Sept 2018Video Dense Caption [slide]Qianyu Feng
5023 Sept 2018Label Refinery: Improving ImageNet Classification through Label Progression [paper]Zhedong Zheng
5123 Sept 2018Progressive Neural Architecture Search [paper]Xuanyi Dong
5229 Sept 2018Modeling Visual Context is Key to Augmenting Object Detection Datasets [paper]Yawei Luo
5329 Sept 2018Linear Spectral Clustering Superpixel [paper]Kun Zhan
-Oct 2018Happy CVPR!-
5425 Nov 2018Variational discriminator bottleneck [slide]Yawei Luo
5525 Nov 2018Group normalization & Rethinking imagenet pre-training [slide]Ruijie Quan
562 Dec 2018How Does Batch Normalization Help Optimization? [paper]Fan Ma
572 Dec 2018A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation [paper]Zhun Zhong
589 Dec 2018Co-teaching: Robust training of deep neural networks with extremely noisy labels [paper]Kun Zhan
599 Dec 2018Meta-Reinforcement Learning of Structured Exploration Strategies [paper]Fengda Zhu
6016 Dec 2018Video-to-Video Synthesis [paper] [slide]Weijian Deng
6123 Dec 2018Image Inpainting for Irregular Holes Using Partial Convolutions [paper]Jiaxu Miao
6223 Dec 2018Learning deep representations by mutual information estimation and maximization [paper]Qianyu Feng
6313 Jan 2019A Style-Based Generator Architecture for Generative Adversarial Networks [slide]Zhedong Zheng
6413 Jan 2019Graph-Based Global Reasoning Networks [slide]Guangrui Li
6520 Jan 2019Unsupervised Learning of Object Landmarks through Conditional Image Generation [slide]Bingwen Hu
6620 Jan 2019Learning to adapt structured output space for semantic [slide]Aming Wu
-Jan 2019Happy CVPR Rebuttal!-
6710 Feb 2019Long-Term Feature Banks for Detailed Video Understanding [paper]Fan Ma
6810 Feb 2019What do Deep Networks Like to See? [paper]Weijian Deng
6917 Feb 2019Instance level facial attributes transfer with geometry-aware flow [paper] [slide]Yuhang Ding
7017 Feb 2019Im2Flow: Motion Hallucination from Static Images for Action Recognition [paper]Jiaxu Miao
7124 Feb 2019Pay less attention with lightweight and dynamic convolutions [paper]Guang Li
7224 Feb 2019Virtual Class Enhanced Discriminative Embedding Learning [paper]Zhun Zhong
7331 Mar 2019Deep randomized embedding for Metric Learning [paper] [slide]Yifan Sun
7431 Mar 2019Semantic Image Synthesis with Spatially-Adaptive Normalization [paper] [slide]Yutian Lin
75Apr 7 2019Convolutional neural network architecture for geometric matching End-to-end weakly-supervised semantic alignment Learning Correspondence from the Cycle-consistency of Time [paper]Xuanyi Dong
76Apr 7 2019C2AE: Class Conditioned Auto-Encoder for Open-set Recognition [paper] [slide]Qingji Guan
77Apr 14 2019SOTA: Semantic Segmentation [slide]Yawei Luo
78Apr 14 2019Adversarial Network Compression [paper]Ping Liu
79Apr 21 2019Video Object Detection [slide]Qi Rao
80Apr 21 2019Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [paper]Guangrui Li
81May 19 2019Two Center Nets [slide]Zhedong Zheng
82May 19 2019FUNIT [slide]Bingwen Hu
83May 26 2019Lottery Hypothesis Pruning / SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY [paper]Fan Ma
84May 26 2019Large-Scale Long-Tailed Recognition in an Open World [paper]Guang Li
85June 2 2019Scops self supervised co-part segmentation [slide]Xiaolin Zhang
86June 2 2019Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning; Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning; VISUAL SEMANTIC NAVIGATION USING SCENE PRIORS; [paper]Xuanyi Dong
87June 30 2019LaSO: Label-Set Operations networks for multi-label few-shot learning; Multi-Label Image Recognition with Graph Convolutional Networks; Visual Attention Consistency under Image Transforms for Multi-Label Image Classification; Learning a Deep ConvNet for Multi-label Classification with Partial Labels; [paper]Qingji Guan
88June 30 2019Learning to Cluster Faces on an Affinity Graph [paper]Zhun Zhong
89July 6 2019An Analysis of Object Embeddings for Image Retrieval [paper] [slide]Weijian Deng
90July 6 2019Reasoning Visual Dialogs with Structural and Partial Observations [paper]Aming Wu
91July 13 2019Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation [paper]Yawei Luo
92July 20 2019Polysemous Visual Semantic Embedding for Crossmodal Retrieval [slide]Ruijie Quan
93July 20 2019Procedure Planning in Instructional Videos [paper]Qianyu Feng
94July 27 2019Segmentation Is All You Need Semantic Instance Segmentation with a Discriminative Loss Function Proposal-free Network for Instance-levelObject Segmentation [paper1] [paper2] [paper3]Peike Li
95July 27 2019Guided Image Generation with Conditional Invertible Neural Networks [paper]Yaxiong Wang
96August 3 2019Generative Adversarial Imitation Learning [paper]Tianqi Tang
97August 3 2019Generative Adversarial Imitation Learning [paper]Yifan Sun
98August 10 2019UPSNet: A Unified Panoptic Segmentation Network [paper]Tingyu Wang
99August 10 2019Language-Conditioned Graph Networks for Relational Reasoning [paper]Hao Wang
100August 17 2019DAFL: Data-Free Learning of Student Networks [paper]Zhun Zhong
101August 17 2019Visual saliency [slide]Hongfa Wen
102August 24 2019Image Synthesis From Reconfigurable Layout and Style [slide]Weijian Deng
103August 24 2019RANet: Ranking Attention Network for Fast Video Object Segmentation [paper]Jiaxu Miao
104August 31 2019Non-local Recurrent Neural Memory for Supervised Sequence Modeling [paper]Aming Wu
105August 31 2019Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation; Graphonomy: Universal Human Parsing via Graph Transfer Learning [paper]Yawei Luo
106Sept 7 2019Deep Tree Learning for Zero-shot Face Anti-Spoofing [paper]Ruijie Quan
107Sept 7 2019A Delay Metric for Video Object Detection: What Average Precision Fails to Tell [paper]Qi Rao
108Sept 14 2019PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation [paper]Yuhang Ding
109Sept 14 2019Semi-supervised Domain Adaptation via Minimax Entropy [paper]Guanrui Li
110Sept 21 2019STEP: Spatio-Temporal Progressive Learning for Video Action Detection [paper] [slide]Xitong Yang
111Sept 28 2019An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution [paper] [slide at author’s homepage]Zhedong Zheng
112Sept 28 2019Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation [paper]Xiaolin Zhang
-Nov 2019Happy CVPR!-
113Nov 25 2019Maximizing Discrepancy to evalute classifiersZhangyang Wang
114Dec 1 2019AdaptIS: Adaptive Instance Selection NetworkPeike Li
115Dec 1 2019Object-Contextual Representations for Semantic SegmentationGuang Li
116Dec 7 2019Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic SegmentationBowen Chen
117Dec 7 2019Cross-domain complementary learning with synthetic data for multi-person part segmentation [slide]Kevin Lin
118Dec 14 2019Self Training for Unsupervised Domain Adaptation [project] [project]Yang Zou
119Dec 14 2019Deep Learning for person re-ID [slide]Jingya Wang