hunoutl/paperlists huggingface dataset:
Title: The expressive power of pooling in Graph Neural Networks
Authors: Filippo Maria Bianchi, Veronica Lachi
Affiliations: Dept. of Information Engineering and Mathematics, University of Siena; Dept. of Mathematics and Statistics, UiT the Arctic University of Norway, NORCE, Norwegian Research Centre AS
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Graph pooling;Expressive power
Decision: Poster
Title: Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning
Authors: Yu Wang, Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen
Affiliations: School of Computer Science, University of Nottingham, United Kingdom; School of Electronic and Computer Engineering, Peking University, Shenzhen, China; Department of Automation, Tsinghua University, Beijing, China; School of Electronic and Computer Engineering, Peking University, Shenzhen, China; Peng Cheng Laboratory, Shenzhen, China; AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, China; Peng Cheng Laboratory, Shenzhen, China; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University; Department of Information Engineering and Computer Science, University of Trento, Italy
Conference: nips 2023 (main track)
Keywords: open-world semi-supervised learning; novel class discovery;
Decision: Poster
Title: An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
Authors: Michael Scholkemper, Michael T Schaub
Affiliations: Department of Computer Science, RWTH Aachen University
Conference: nips 2023 (main track)
Keywords: Role Extraction;Graph Learning;Node Embeddings;Weisfeiler Lehman;Equitable Partition
Decision: Poster
Title: Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
Authors: Aahlad Manas Puli, Lily Zhang, Yoav Wald, Rajesh Ranganath
Affiliations: Center for Data Science, New York University; Department of Computer Science, New York University; Department of Population Health, Langone Health, New York University; Department of Computer Science, New York University
Conference: nips 2023 (main track)
Keywords: shortcut learning;spurious correlations;perfect stable feature;perception tasks;implicit bias in optimization;improving inductive biases
Decision: Poster
Title: What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Authors: Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge; Not provided
Conference: nips 2023 (main track)
Keywords: Uncertainty Explaination;Uncertainty Quantification;Interpretability
Decision: Poster
Title: A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Authors: Arnu Pretorius, Scott Cameron, Elan van Biljon, Thomas Makkink, Shahil Mawjee, Jeremy du Plessis, Jonathan Shock, Alexandre Laterre, Karim Beguir
Conference: nips 2020 (main track)
Decision: Poster
Title: Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Authors: Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos
Conference: nips 2020 (main track)
Decision: Poster
Title: Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Authors: Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
Conference: nips 2020 (main track)
Decision: Poster
Title: Big Bird: Transformers for Longer Sequences
Authors: Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Conference: nips 2020 (main track)
Decision: Poster
Title: Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
Authors: Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Daniel (Zhaohan) Guo, Mohammad Gheshlaghi Azar, Bilal Piot, koray kavukcuoglu, Remi Munos, Michal Valko
Conference: nips 2020 (main track)
Decision: Oral
Title: CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Authors: Vijil Chenthamarakshan, Payel Das, Samuel Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
Conference: nips 2020 (main track)
Decision: Poster
Title: Critic Regularized Regression
Authors: Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott Reed, Bobak Shahriari, Noah Siegel, Caglar Gulcehre, Nicolas Heess, Nando de Freitas
Conference: nips 2020 (main track)
Decision: Poster
Title: Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
Authors: Anqi Wu, Estefany Kelly Buchanan, Matthew Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, The International Brain Laboratory The International Brain Laboratory, John Cunningham, Liam Paninski
Conference: nips 2020 (main track)
Decision: Poster
Title: Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
Authors: Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli
Conference: nips 2020 (main track)
Decision: Poster
Title: FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Authors: Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin A Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
Conference: nips 2020 (main track)
Decision: Poster
Title: Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Authors: Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, Ren Ng
Conference: nips 2020 (main track)
Decision: Spotlight
Title: FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Authors: Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
Conference: nips 2020 (main track)
Decision: Poster
Title: How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
Authors: Mrinank Sharma, Sören Mindermann, Jan Brauner, Gavin Leech, Anna Stephenson, Tomáš Gavenčiak, Jan Kulveit, Yee Whye Teh, Leonid Chindelevitch, Yarin Gal
Conference: nips 2020 (main track)
Decision: Spotlight
Title: Interpretable Sequence Learning for Covid-19 Forecasting
Authors: Sercan Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister
Conference: nips 2020 (main track)
Decision: Spotlight
Title: Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Authors: Hu Liu, Jing LU, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan
Conference: nips 2020 (main track)
Decision: Spotlight
Title: Language Models are Few-Shot Learners
Authors: Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen M Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
Conference: nips 2020 (main track)
Decision: Oral
Title: Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Authors: Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, Will Hamilton
Conference: nips 2020 (main track)
Decision: Poster
Title: Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Authors: Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas Hudson, Nicolas Porcel, Marc Lanctot, Julien Perolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Conference: nips 2020 (main track)
Decision: Spotlight
Title: Modern Hopfield Networks and Attention for Immune Repertoire Classification
Authors: Michael Widrich, Bernhard Schäfl, Milena Pavlović, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
Conference: nips 2020 (main track)
Decision: Spotlight
Title: Normalizing Kalman Filters for Multivariate Time Series Analysis
Authors: Emmanuel de Bézenac, Syama Sundar Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski
Conference: nips 2020 (main track)
Decision: Poster
Title: Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Authors: Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
Conference: nips 2020 (main track)
Decision: Poster
Title: Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
Authors: Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao, Ming Liu, Jeremy Fowers, Kalin Ovtcharov, Anna Vinogradsky, Sarah Massengill, Lita Yang, Ray Bittner, Alessandro Forin, Haishan Zhu, Taesik Na, Prerak Patel, Shuai Che, Lok Chand Koppaka, XIA SONG, Subhojit Som, Kaustav Das, Saurabh K T, Steve Reinhardt, Sitaram Lanka, Eric Chung, Doug Burger
Conference: nips 2020 (main track)
Decision: Poster
Title: RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Authors: Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
Conference: nips 2020 (main track)
Decision: Poster
Title: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Authors: Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela
Conference: nips 2020 (main track)
Decision: Poster
Title: Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Authors: Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob Foerster
Conference: nips 2020 (main track)
Decision: Poster
Title: ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Authors: Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi (Viji) Srinivasan, Wei Zhang, Kailash Gopalakrishnan
Conference: nips 2020 (main track)
Decision: Poster
Title: SnapBoost: A Heterogeneous Boosting Machine
Authors: Thomas Parnell, Andreea Anghel, Małgorzata Łazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis
Conference: nips 2020 (main track)
Decision: Poster
Title: Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Authors: Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
Conference: nips 2020 (main track)
Decision: Spotlight
Title: Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
Authors: Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker
Conference: nips 2020 (main track)
Decision: Poster
Title: Synbols: Probing Learning Algorithms with Synthetic Datasets
Authors: Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matthew Craddock, Laurent Charlin, David Vázquez
Conference: nips 2020 (main track)
Decision: Poster
Title: Towards Playing Full MOBA Games with Deep Reinforcement Learning
Authors: Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
Conference: nips 2020 (main track)
Decision: Poster
Title: Transferable Graph Optimizers for ML Compilers
Authors: Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon
Conference: nips 2020 (main track)
Decision: Oral
Title: Ultra-Low Precision 4-bit Training of Deep Neural Networks
Authors: Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi (Viji) Srinivasan, Kailash Gopalakrishnan
Conference: nips 2020 (main track)
Decision: Oral
Title: A Probabilistic U-Net for Segmentation of Ambiguous Images
Authors: Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger
Conference: nips 2018 (main track)
Decision: Spotlight
Title: A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Authors: Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba C Vemuri
Conference: nips 2018 (main track)
Decision: Poster
Title: GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Authors: Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alex Schwing, Murali Annavaram, Salman Avestimehr
Conference: nips 2018 (main track)
Decision: Poster
Title: Inequity aversion improves cooperation in intertemporal social dilemmas
Authors: Edward Hughes, Joel Leibo, Matthew Phillips, Karl Tuyls, Edgar Dueñez-Guzman, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin McKee, Raphael Koster, Heather Roff, Thore Graepel
Conference: nips 2018 (main track)
Decision: Poster
Title: Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Authors: Daniel D. Johnson, Daniel Gorelik, Ross E Mawhorter, Kyle Suver, Weiqing Gu, Steven Xing, Cody Gabriel, Peter Sankhagowit
Conference: nips 2018 (main track)
Decision: Poster
Title: Mesh-TensorFlow: Deep Learning for Supercomputers
Authors: Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake Hechtman
Conference: nips 2018 (main track)
Decision: Poster
Title: Snap ML: A Hierarchical Framework for Machine Learning
Authors: Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis
Conference: nips 2018 (main track)
Decision: Poster
Title: Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Authors: Fabian Sinz, Alexander Ecker, Paul Fahey, Edgar Walker, Erick M Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Xaq Pitkow, Jacob Reimer, Andreas Tolias
Conference: nips 2018 (main track)
Decision: Poster
Title: Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Authors: Ye Jia, Yu Zhang, Ron Weiss, Quan Wang, Jonathan Shen, Fei Ren, zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio Lopez Moreno, Yonghui Wu
Conference: nips 2018 (main track)
Decision: Poster
Title: "CHORE: Contact, Human and Object REconstruction from a Single RGB Image"
Authors: Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
Affiliations: University of T¨ ubingen, Germany and Max Planck Institute for Informatics, Saarland Informatics Campus, Germany; Max Planck Institute for Informatics, Saarland Informatics Campus, Germany
Conference: eccv 2022 ( track)
Title: "FEAR: Fast, Efficient, Accurate and Robust Visual Tracker"
Authors: Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas
Affiliations: Visual Recognition Group, Center for Machine Perception, FEE, CTU in Prague; Ukrainian Catholic University, Pi˜nata Farms, Los Angeles, USA
Conference: eccv 2022 ( track)
Title: "Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition"
Authors: Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao
Affiliations: 2CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; 3SenseTime Research; 1Key Laboratory of Machine Perception, MOE, School of Artificial Intelligence, Peking University; 4The University of Sydney
Conference: eccv 2022 ( track)
Title: "PartImageNet: A Large, High-Quality Dataset of Parts"
Authors: Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille
Affiliations: ByteDance Inc.; University of Technology Sydney; Johns Hopkins University
Conference: eccv 2022 ( track)
Title: "Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection"
Authors: Maoxun Yuan, Yinyan Wang, Xingxing Wei
Affiliations: Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China; Institute of Artificial Intelligence, Hangzhou Innovation Institute, Beihang University, Beijing, China
Conference: eccv 2022 ( track)
Title: "Unitail: Detecting, Reading, and Matching in Retail Scene"
Authors: Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
Affiliations: Tsinghua University, Beijing 100084, China; University of Pittsburgh, Pittsburgh PA 15213, USA; Carnegie Mellon University, Pittsburgh PA 15213, USA
Conference: eccv 2022 ( track)
Title: "“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations"
Authors: Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
Affiliations: NVIDIA Research, Israel; Bar Ilan University, Israel; NVIDIA Research, Israel; NVIDIA Research, Israel; Tel Aviv University, Israel; NVIDIA Research, Israel; The Hebrew University of Jerusalem, Jerusalem, Israel
Conference: eccv 2022 ( track)
Title: 2D Amodal Instance Segmentation Guided by 3D Shape Prior
Authors: Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang
Affiliations: National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China
Conference: eccv 2022 ( track)
Title: 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
Authors: Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, Zhen Li
Affiliations: Tencent Map, T Lab; Shanghai University; The Chinese University of Hong Kong (Shenzhen), The Future Network of Intelligence Institute, Shenzhen Research Institute of Big Data
Conference: eccv 2022 ( track)
Title: 3D Clothed Human Reconstruction in the Wild
Authors: Gyeongsik Moon, Hyeongjin Nam, Takaaki Shiratori, Kyoung Mu Lee
Affiliations: Meta Reality Labs Research; Dept. of ECE & ASRI, Seoul National University, Korea; Dept. of ECE & ASRI, Seoul National University, Korea; IPAI, Seoul National University, Korea
Conference: eccv 2022 ( track)
Title: 3D CoMPaT: Composition of Materials on Parts of 3D Things
Authors: Yuchen Li, Ujjwal Upadhyay, Habib Slim, Tezuesh Varshney, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny
Affiliations: KAUST, Thuwal, Saudi Arabia; Poly9 Inc., San Francisco, California
Conference: eccv 2022 ( track)
Title: 3D Face Reconstruction with Dense Landmarks
Authors: Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljković, Tom Cashman, Julien Valentin
Affiliations: Microsoft
Conference: eccv 2022 ( track)
Title: 3D Instances as 1D Kernels
Authors: Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong
Affiliations: Key Laboratory of Image Processing and Intelligent Control, Ministry of Education School of AIA, Huazhong University of Science and Technology, China; Huawei CBG Consumer Cloud Service Search & Maps BU
Conference: eccv 2022 ( track)
Title: 3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal
Authors: Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, Ping Luo
Affiliations: SenseTime, Shanghai AI Lab; The University of Hong Kong, SenseTime Research and Tetras.AI; Shanghai AI Lab, The University of Sydney; Beihang University, SenseTime Research and Tetras.AI; The University of Hong Kong; SenseTime Research and Tetras.AI; Beihang University
Conference: eccv 2022 ( track)
Title: 3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone
Authors: Emeç Erçelik, Ekim Yurtsever, Mingyu Liu, Zhijie Yang, Hanzhen Zhang, Pınar Topçam, Maximilian Listl, Yılmaz Kaan Çaylı, Alois Knoll
Affiliations: Ohio State University, Columbus, OH 43212, USA; Chair of Robotics, Artificial Intelligence and Real-time Systems, Technical University of Munich, 85748 Garching b. M¨ unchen, Germany; Tongji University, 201804, Shanghai, China
Conference: eccv 2022 ( track)
Title: 3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization
Authors: Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang
Affiliations: Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3BX, UK; School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, 215123, China
Conference: eccv 2022 ( track)
Title: 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
Authors: Yining Zhao, Chao Wen, Zhou Xue, Yue Gao
Affiliations: BNRist, THUIBCS, BLBCI, KLISS, School of Software, Tsinghua University; Pico IDL, ByteDance
Conference: eccv 2022 ( track)
Title: 3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds
Authors: Emery Pierson, Mohamed Daoudi, Sylvain Arguillere
Affiliations: IMT Nord Europe, Institut Mines-Télécom, Centre for Digital Systems; Univ. Lille, CNRS, UMR 8524 Laboratoire Paul Painlevé, Lille, F-59000, France; Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France
Conference: eccv 2022 ( track)
Title: 3D Siamese Transformer Network for Single Object Tracking on Point Clouds
Authors: Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang
Affiliations: Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, China
Conference: eccv 2022 ( track)
Title: 3D-Aware Semantic-Guided Generative Model for Human Synthesis
Authors: Jichao Zhang, Enver Sangineto, Hao Tang, Aliaksandr Siarohin, Zhun Zhong, Nicu Sebe, Wei Wang
Affiliations: University of Trento; ETH Zurich; University of Modena and Reggio Emilia
Conference: eccv 2022 ( track)