Wei Shen

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All published works
Action Title Year Authors
+ PDF Chat SG-GS: Photo-realistic Animatable Human Avatars with Semantically-Guided Gaussian Splatting 2024 Haoyu Zhao
Chen Yang
Hao Wang
Xingyue Zhao
Wei Shen
+ PDF Chat CHASE: 3D-Consistent Human Avatars with Sparse Inputs via Gaussian Splatting and Contrastive Learning 2024 Haoyu Zhao
Hao Wang
Chen Yang
Wei Shen
+ PDF Chat GaussianObject: Just Taking Four Images to Get A High-Quality 3D Object with Gaussian Splatting 2024 Yang Chen
Sikuang Li
Jiemin Fang
Ruofan Liang
Lingxi Xie
Xiaopeng Zhang
Wei Shen
Qi Tian
+ Human-Instruction-Free LLM Self-Alignment with Limited Samples 2024 Hongyi Guo
Yuanshun Yao
Wei Shen
Jiaheng Wei
Xiaoying Zhang
Zhaoran Wang
Liu Yang
+ PDF Chat RePreM: Representation Pre-training with Masked Model for Reinforcement Learning 2023 Yuanying Cai
Chuheng Zhang
Wei Shen
Xuyun Zhang
Wenjie Ruan
Longbo Huang
+ RePreM: Representation Pre-training with Masked Model for Reinforcement Learning 2023 Yuanying Cai
Chuheng Zhang
Wei Shen
Xuyun Zhang
Wenjie Ruan
Longbo Huang
+ USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation 2023 Zelin Peng
Guanchun Wang
Lingxi Xie
Dongsheng Jiang
Wei Shen
Qi Tian
+ NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds 2023 Yang Chen
Peihao Li
Zanwei Zhou
Shanxin Yuan
Bingbing Liu
Xiaokang Yang
Weichao Qiu
Wei Shen
+ Segment Anything in 3D with NeRFs 2023 Jiazhong Cen
Zanwei Zhou
Jiemin Fang
Wei Shen
Lingxi Xie
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
+ Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation 2023 Yunhao Bai
Duowen Chen
Qingli Li
Wei Shen
Yan Wang
+ Bid Optimization for Offsite Display Ad Campaigns on eCommerce 2023 Hangjian Li
Dong Xu
Konstantin Shmakov
Kuang-Chih Lee
Wei Shen
+ SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction 2023 Zelin Peng
Zhengqin Xu
Zhilin Zeng
Xiaokang Yang
Wei Shen
+ Segment Any 3D Gaussians 2023 Jiazhong Cen
Jiemin Fang
Yang Chen
Lingxi Xie
Xiaopeng Zhang
Wei Shen
Qi Tian
+ PDF Chat A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS 2022 Wei Shen
Xiaonan He
Chuheng Zhang
Xuyun Zhang
Xie Jian
+ ContrastMask: Contrastive Learning to Segment Every Thing 2022 Xuehui Wang
Kai Zhao
Ruixin Zhang
Shouhong Ding
Yan Wang
Wei Shen
+ CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation 2022 Feng Wang
Huiyu Wang
Wei Chen
Alan Yuille
Wei Shen
+ A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction 2022 Wei Shen
Zelin Peng
Xuehui Wang
Huayu Wang
Jiazhong Cen
Dongsheng Jiang
Lingxi Xie
Xiaokang Yang
Qi Tian
+ Personal Attribute Prediction from Conversations 2022 Yinan Liu
Hu Chen
Wei Shen
+ Learning Entity Linking Features for Emerging Entities 2022 Chenwei Ran
Wei Shen
Jianbo Gao
Yuhan Li
Jianyong Wang
Yantao Jia
+ Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening 2022 Yunhao Li
Zhenbo Yu
Yucheng Zhu
Bingbing Ni
Guangtao Zhai
Wei Shen
+ Self-supervised Character-to-Character Distillation for Text Recognition 2022 Tongkun Guan
Wei Shen
+ TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets 2022 Yuanying Cai
Chuheng Zhang
Zhao Li
Wei Shen
Xuyun Zhang
Lei Song
Jiang Bian
Tao Qin
Tieyan Liu
+ A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS 2022 Wei Shen
Xiaonan He
Chuheng Zhang
Xuyun Zhang
Jian XIe
+ MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery 2022 Duowen Chen
Yunhao Bai
Wei Shen
Qingli Li
Lequan Yu
Yan Wang
+ PDF Chat Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes 2021 Jiazhong Cen
Zenkun Jiang
Lingxi Xie
Qi Tian
Xiaokang Yang
Wei Shen
+ Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks 2020 Daniil Pakhomov
Wei Shen
Nassir Navab
+ The ILD detector at the ILC 2019 H. Abramowicz
Tatjana Agatonovic Jovin
Oscar Alonso
Mohammad Sohail Amjad
F. F. An
L. Andricek
M. Anduze
Justin Anguiano
E.Yu. Antonov
Yumi Aoki
+ The ILD detector at the ILC 2019 H. Abramowicz
Tatjana Agatonovic Jovin
Oscar Alonso
Mohammad Sohail Amjad
F. F. An
L. Andricek
M. Anduze
Justin Anguiano
E.Yu. Antonov
Yumi Aoki
+ The ILD detector at the ILC 2019 H. Abramowicz
Tatjana Agatonovic Jovin
Oscar Alonso
Mohammad Sohail Amjad
F. F. An
L. Andricek
M. Anduze
Justin Anguiano
E.Yu. Antonov
Yumi Aoki
+ Deeply Shape-guided Cascade for Instance Segmentation 2019 Hao Ding
Siyuan Qiao
Alan Yuille
Wei Shen
+ Identifying User Behavior in domain-specific Repositories 2014 Wilko van Hoek
Wei Shen
Philipp Mayr
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat Rainbow: Combining Improvements in Deep Reinforcement Learning 2018 Matteo Hessel
Joseph Modayil
Hado van Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
Mohammad Gheshlaghi Azar
David Silver
1
+ DeepMind Control Suite 2018 Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
Diego de Las Casas
David Budden
Abbas Abdolmaleki
Josh Merel
Andrew Lefrancq
1
+ Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 2018 Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
1
+ Investigating Human Priors for Playing Video Games 2018 Rachit Dubey
Pulkit Agrawal
Deepak Pathak
Thomas L. Griffiths
Alexei A. Efros
1
+ A Study on Overfitting in Deep Reinforcement Learning 2018 Chiyuan Zhang
Oriol Vinyals
Rémi Munos
Samy Bengio
1
+ PDF Chat Deep Context: End-to-end Contextual Speech Recognition 2018 Golan Pundak
Tara N. Sainath
Rohit Prabhavalkar
Anjuli Kannan
Ding Zhao
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ Neural Predictive Belief Representations 2018 Zhaohan Daniel Guo
Mohammad Gheshlaghi Azar
Bilal Piot
Bernardo Ávila Pires
Toby Pohlen
Rémi Munos
1
+ Model-Based Reinforcement Learning for Atari 2019 Łukasz Kaiser
Mohammad Babaeizadeh
Piotr Miłoś
Błażej Osiński
Roy H. Campbell
Konrad Czechowski
Dumitru Erhan
Chelsea Finn
Piotr Kozakowski
Sergey Levine
1
+ Data-Efficient Image Recognition with Contrastive Predictive Coding 2019 Olivier J. Hénaff
Aravind Srinivas
Jeffrey De Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aäron van den Oord
1
+ Learning Representations by Maximizing Mutual Information Across Views 2019 Philip Bachman
R Devon Hjelm
William Buchwalter
1
+ Provably efficient RL with Rich Observations via Latent State Decoding 2019 Simon S. Du
Akshay Krishnamurthy
Nan Jiang
Alekh Agarwal
Miroslav Dudı́k
John Langford
1
+ Reinforcement Learning with Unsupervised Auxiliary Tasks 2016 Max Jaderberg
Volodymyr Mnih
Wojciech Marian Czarnecki
Tom Schaul
Joel Z. Leibo
David Silver
Koray Kavukcuoglu
1
+ MASS: Masked Sequence to Sequence Pre-training for Language Generation 2019 Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie‐Yan Liu
1
+ When to use parametric models in reinforcement learning? 2019 Hado van Hasselt
Matteo Hessel
John Aslanides
1
+ Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention 2019 Wenhu Chen
Jianshu Chen
Pengda Qin
Xifeng Yan
William Yang Wang
1
+ Loss is its own Reward: Self-Supervision for Reinforcement Learning 2016 Evan Shelhamer
Parsa Mahmoudieh
Max Argus
Trevor Darrell
1
+ PDF Chat Building machines that learn and think like people 2016 Brenden M. Lake
Tomer Ullman
Joshua B. Tenenbaum
Samuel J. Gershman
1
+ The Laplacian in RL: Learning Representations with Efficient Approximations 2018 Yifan Wu
George Tucker
Ofir Nachum
1
+ Diversity is All You Need: Learning Skills without a Reward Function 2018 Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
1
+ PDF Chat Curiosity-Driven Exploration by Self-Supervised Prediction 2017 Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
1
+ Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks 2019 Igor Shalyminov
Sung‐Jin Lee
Arash Eshghi
Oliver Lemon
1
+ Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base 2019 Tao Shen
Xiubo Geng
Tao Qin
Daya Guo
Duyu Tang
Nan Duan
Guodong Long
Daxin Jiang
1
+ Improving Sample Efficiency in Model-Free Reinforcement Learning from Images 2019 Denis Yarats
Amy Zhang
Ilya Kostrikov
Brandon Amos
Joëlle Pineau
Rob Fergus
1
+ Stabilizing Transformers for Reinforcement Learning 2019 Emilio Parisotto
Hao Song
Jack W. Rae
Razvan Pascanu
Çaǧlar Gülçehre
Siddhant M. Jayakumar
Max Jaderberg
Raphaël Lopez Kaufman
Aidan Clark
Seb Noury
1
+ Dream to Control: Learning Behaviors by Latent Imagination 2019 Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
1
+ PDF Chat Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes 2020 Pablo Samuel Castro
1
+ A Simple Framework for Contrastive Learning of Visual Representations 2020 Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
1
+ Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning 2020 Daniel Guo
Bernardo Ávila Pires
Bilal Piot
Jean-Bastien Grill
Florent Altché
Rémi Munos
Mohammad Gheshlaghi Azar
1
+ Bootstrap your own latent: A new approach to self-supervised Learning 2020 Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre H. Richemond
Elena Buchatskaya
Carl Doersch
Bernardo Ávila Pires
Zhaohan Daniel Guo
Mohammad Gheshlaghi Azar
1
+ PDF Chat Momentum Contrast for Unsupervised Visual Representation Learning 2020 Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
1
+ PDF Chat Feedback-Based Self-Learning in Large-Scale Conversational AI Agents 2020 Pragaash Ponnusamy
Alireza Roshan Ghias
Chenlei Guo
Ruhi Sarikaya
1
+ Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning 2020 Matthias Hutsebaut-Buysse
Kevin Mets
Steven Latré
1
+ An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 2020 Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
Thomas Unterthiner
Mostafa Dehghani
Matthias Minderer
Georg Heigold
Sylvain Gelly
1
+ PDF Chat End-to-End Object Detection with Transformers 2020 Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
1
+ PDF Chat The Arcade Learning Environment: An Evaluation Platform for General Agents 2013 Marc G. Bellemare
Yavar Naddaf
Joel Veness
Michael Bowling
1
+ CURL: Contrastive Unsupervised Representations for Reinforcement Learning 2020 Aravind Srinivas
Michael Laskin
Pieter Abbeel
1
+ Mastering Atari with Discrete World Models 2020 Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
1
+ Learning Invariant Representations for Reinforcement Learning without Reconstruction 2020 Amy Zhang
Rowan McAllister
Roberto Calandra
Yarin Gal
Sergey Levine
1
+ Return-Based Contrastive Representation Learning for Reinforcement Learning 2021 Guoqing Liu
Chuheng Zhang
Li Zhao
Tao Qin
Jinhua Zhu
Li Jian
Nenghai Yu
Tie‐Yan Liu
1
+ Pretraining Representations for Data-Efficient Reinforcement Learning 2021 Max Schwarzer
Nitarshan Rajkumar
Michael Noukhovitch
Ankesh Anand
Laurent Charlin
Devon Hjelm
Philip Bachman
Aaron Courville
1
+ Decision Transformer: Reinforcement Learning via Sequence Modeling 2021 Lili Chen
Kevin Lü
Aravind Rajeswaran
Kimin Lee
Aditya Grover
Michael Laskin
Pieter Abbeel
Aravind Srinivas
Igor Mordatch
1
+ Reinforcement Learning with Action-Free Pre-Training from Videos 2022 Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
1
+ Online Decision Transformer 2022 Qinqing Zheng
Amy Zhang
Aditya Grover
1
+ Generalized Decision Transformer for Offline Hindsight Information Matching 2021 Hiroki Furuta
Yutaka Matsuo
Shixiang Gu
1
+ Multi-Game Decision Transformers 2022 Kuang-Huei Lee
Ofir Nachum
Mengjiao Yang
Lisa Lee
Daniel Freeman
Winnie Xu
Sergio Guadarrama
Ian Fischer
Eric B. Jang
Henryk Michalewski
1
+ Prompting Decision Transformer for Few-Shot Policy Generalization 2022 Mengdi Xu
Yikang Shen
Shun Zhang
Yuchen Lu
Ding Zhao
Joshua B. Tenenbaum
Chuang Gan
1
+ CoBERL: Contrastive BERT for Reinforcement Learning 2021 Andrea Banino
Adrià Puidomenech Badia
Jacob Walker
Tim Scholtes
Jovana Mitrovic
Charles Blundell
1
+ Offline Reinforcement Learning as One Big Sequence Modeling Problem 2021 Michael Jänner
Qiyang Li
Sergey Levine
1