The European Conference on Computer Vision (ECCV) 2020 is being hosted virtually from August 23rd - 28th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!

List of Accepted Papers

Contact and Human Dynamics from Monocular Video

Authors: Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang
Contact: drempe@stanford.edu
Links: Paper | Video
Keywords: 3d human pose, 3d human motion, pose estimation, dynamics, physics-based, contact, trajectory optimization, character animation, deep learning

Curriculum DeepSDF

Authors: Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas
Contact: duanyq19@stanford.edu
Links: Paper
Keywords: shape representation, implicit function, deepsdf, curriculum learning

Deformation-Aware 3D Model Embedding and Retrieval

Authors: Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas
Contact: mikacuy@stanford.edu
Links: Paper | Video
Keywords: 3d model retrieval, deformation-aware embedding, non- metric embedding

Generative Sparse Detection Networks for 3D Single-shot Object Detection

Authors: JunYoung Gwak, Christopher Choy, Silvio Savarese
Contact: jgwak@cs.stanford.edu
Links: Paper | Video
Keywords: single shot detection, 3d object detection, generative sparsenetwork, point cloud

Learning 3D Part Assembly from A Single Image

Authors: Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas
Contact: liyichen@cs.stanford.edu
Links: Paper | Video
Keywords: 3d vision, vision for robotics, 3d representation

Learning Predictive Models From Observation and Interaction

Authors: Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
Contact: cbfinn@cs.stanford.edu
Links: Paper | Video
Keywords: video prediction, visual planning, action representations, robotic manipulation

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

Authors: Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas
Contact: kaichunm@stanford.edu
Links: Paper | Video
Keywords: 3d vision and graphics, generative adversarial network, 3d point cloud

Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images

Authors: Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas
Contact: lei_jiahui@zju.edu.cn, ssrinath@cs.stanford.edu
Links: Paper | Video
Keywords: 3d reconstruction, multi-view, single-view, parametrization

Quaternion Equivariant Capsule Networks for 3D Point Clouds

Authors: Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
Contact: tbirdal@stanford.edu
Links: Paper
Keywords: equivariance, 3d point clouds, quaternion, weiszfeld algorithm, capsule networks, dynamic routing, riemannian

ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

Authors: Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas J. Guibas
Contact: panos@cs.stanford.edu
Links: Paper | Video
Keywords: 3d neural-listeners, spatial relations, object identification, referential language

Robust and On-the-fly Dataset Denoising for Image Classification

Authors: Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma
Contact: tsong@cs.stanford.edu
Links: Paper
Keywords: web supervision, noisy labels, robust data denoising

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition

Authors: Linxi Fan*, Shyamal Buch*, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei
Contact: {jimfan,shyamal}@cs.stanford.edu
Links: Paper | Video | Website
Keywords: efficient action recognition, spatiotemporal, learnable shift, budget-constrained, video understanding

Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

Authors: Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, Marco Pavone
Contact: borisi@stanford.edu
Links: Paper | Blog Post
Keywords: trajectory forecasting, spatiotemporal graph modeling, human-robot interaction, autonomous driving

Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

Authors: Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, Marco Pavone
Contact: borisi@stanford.edu
Links: Paper | Blog Post
Keywords: trajectory forecasting, spatiotemporal graph modeling, human-robot interaction, autonomous driving

Procedure Planning in Instructional Videos

Authors: Chein-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles
Contact: cy3@stanford.edu
Links: Paper | Website
Keywords: latent space planning, task planning, video understanding, representation for action and skill

We look forward to seeing you at ECCV 2020!