18 citations · 82 across the 16 of their papers we have counts for
9 papers · 1 filter
State Alignment-based Imitation Learning
Fangchen Liu, Zhan Ling, Tongzhou Mu +1
Consider an imitation learning problem that the imitator and the expert have different dynamics models. Most of the current imitation learning methods fail because they focus on im…
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness
Shuo Cheng, Zexiang Xu, Shilin Zhu +4
We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D reconstruction from multiple RGB images. Multi-view stereo (MVS) aims to reconstruct fine-grained scene geomet…
Normal Assisted Stereo Depth Estimation
Uday Kusupati, Shuo Cheng, Rui Chen +1
Accurate stereo depth estimation plays a critical role in various 3D tasks in both indoor and outdoor environments. Recently, learning-based multi-view stereo methods have demonstr…
Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia, Hao Su
Recent advances in deep learning theory have evoked the study of generalizability across different local minima of deep neural networks (DNNs). While current work focused on either…
Multi-view PointNet for 3D Scene Understanding
Maximilian Jaritz, Jiayuan Gu, Hao Su
Fusion of 2D images and 3D point clouds is important because information from dense images can enhance sparse point clouds. However, fusion is challenging because 2D and 3D data li…
Mapping State Space using Landmarks for Universal Goal Reaching
Zhiao Huang, Fangchen Liu, Hao Su
An agent that has well understood the environment should be able to apply its skills for any given goals, leading to the fundamental problem of learning the Universal Value Functio…