Yunzhu Li

According to our database, Yunzhu Li authored at least 62 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks.

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Int. J. Robotics Res., 2024

3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing.

Binghao Huang, Yixuan Wang, Xinyi Yang, Yiyue Luo, Yunzhu Li

CoRR, 2024

Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling.

Mingtong Zhang, Kaifeng Zhang, Yunzhu Li

CoRR, 2024

GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy.

Yixuan Wang, Guang Yin, Binghao Huang, Tarik Kelestemur, Jiuguang Wang, Yunzhu Li

CoRR, 2024

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation.

Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Li Fei-Fei

CoRR, 2024

Compositional Physical Reasoning of Objects and Events from Videos.

Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

CoRR, 2024

AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation.

Kaifeng Zhang, Baoyu Li, Kris Hauser, Yunzhu Li

CoRR, 2024

RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing.

Bo Ai, Stephen Tian, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, Jiajun Wu

CoRR, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

CoRR, 2024

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation.

Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei

CoRR, 2024

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation.

Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Executable Code Actions Elicit Better LLM Agents.

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians.

Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li

Proceedings of the Computer Vision - ECCV 2024, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

Proceedings of the International Conference on 3D Vision, 2024

2023

Algorithms and Systems for Manipulating Multiple Objects.

Zherong Pan, Andy Zeng, Yunzhu Li, Jingjin Yu, Kris Hauser

IEEE Trans. Robotics, February, 2023

Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System.

Junfang Bao, Jianli Li, Chunyu Qu, Yunzhu Li

Remote. Sens., 2023

D³Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation.

Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li

CoRR, 2023

The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

CoRR, 2023

Dynamic-Resolution Model Learning for Object Pile Manipulation.

Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.

Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-Based Control with Sparse Neural Dynamics.

Ziang Liu, Genggeng Zhou, Jeff He, Tobia Marcucci, Fei-Fei Li, Jiajun Wu, Yunzhu Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?

Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Research on the Design of Weighing Scale Based on Health Management During Pregnancy.

Yunzhu Li, Rongrong Fu

Proceedings of the Design, User Experience, and Usability, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Object Folder Benchmark : Multisensory Learning with Neural and Real Objects.

Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools.

Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2023

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei

Proceedings of the Conference on Robot Learning, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.

Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 2023

2022

Learning Structured World Models From and For Physical Interactions

Yunzhu Li

PhD thesis, 2022

Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision?

Lirui Wang, Kaiqing Zhang, Yunzhu Li, Yonglong Tian, Russ Tedrake

CoRR, 2022

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Reinforcement Learning with Neural Radiance Fields.

Danny Driess, Ingmar Schubert, Pete Florence, Yunzhu Li, Marc Toussaint

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment.

Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools.

Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos.

Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation.

Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held

Proceedings of the Conference on Robot Learning, 2022

Learning Multi-Object Dynamics with Compositional Neural Radiance Fields.

Danny Driess, Zhiao Huang, Yunzhu Li, Russ Tedrake, Marc Toussaint

Proceedings of the Conference on Robot Learning, 2022

Discrete Approximate Information States in Partially Observable Environments.

Lujie Yang, Kaiqing Zhang, Alexandre Amice, Yunzhu Li, Russ Tedrake

Proceedings of the American Control Conference, 2022

2021

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing.

Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals.

Yiyue Luo, Yunzhu Li, Michael Foshey, Wan Shou, Pratyusha Sharma, Tomás Palacios, Antonio Torralba, Wojciech Matusik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Neural Scene Representations for Visuomotor Control.

Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Deep Learning for Nanofluid Field Reconstruction in Experimental Analysis.

Tianyuan Liu, Yunzhu Li, Yonghui Xie, Di Zhang

IEEE Access, 2020

Causal Discovery in Physical Systems from Videos.

Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, Animesh Garg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Physical Graph Representations from Visual Scenes.

Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images.

Meiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Visual Grounding of Learned Physical Models.

Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba

Proceedings of the 37th International Conference on Machine Learning, 2020

CLEVRER: Collision Events for Video Representation and Reasoning.

Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Compositional Koopman Operators for Model-Based Control.

Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba

Proceedings of the 8th International Conference on Learning Representations, 2020

Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning.

Lucas Manuelli, Yunzhu Li, Peter R. Florence, Russ Tedrake

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Learning the signatures of the human grasp using a scalable tactile glove.

Subramanian Sundaram, Petr Kellnhofer, Yunzhu Li, Jun-Yan Zhu, Antonio Torralba, Wojciech Matusik

Nat., 2019

Propagation Networks for Model-Based Control Under Partial Observation.

Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba

Proceedings of the 7th International Conference on Learning Representations, 2019

Connecting Touch and Vision via Cross-Modal Prediction.

Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks.

Meiyan Xie, Yunzhu Li, Yunzhe Xue, Randy Shafritz, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs.

Yunzhu Li, Jiaming Song, Stefano Ermon

CoRR, 2017

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations.

Yunzhu Li, Jiaming Song, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning.

Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.

Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang, Wen Gao

CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.

Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang

Proceedings of the Computer Vision - ECCV 2016, 2016