research
∙
07/21/2023
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization
Scene coordinates regression (SCR), i.e., predicting 3D coordinates for ...
share
research
∙
05/26/2023
Accelerating Value Iteration with Anchoring
Value Iteration (VI) is foundational to the theory and practice of moder...
research
∙
03/25/2023
Learning Rotation-Equivariant Features for Visual Correspondence
Extracting discriminative local features that are invariant to imaging v...
research
∙
10/24/2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
We consider local kernel metric learning for off-policy evaluation (OPE)...
research
∙
06/15/2022
Self-Supervised Learning of Image Scale and Orientation
We study the problem of learning to assign a characteristic pose, i.e., ...
research
∙
04/19/2022
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
We consider the offline constrained reinforcement learning (RL) problem,...
research
∙
04/19/2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Detecting robust keypoints from an image is an integral part of many com...
research
∙
02/28/2022
LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation
We consider the problem of imitation from observation (IfO), in which th...
research
∙
02/07/2022
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks
The tremendous recent progress in analyzing the training dynamics of ove...
research
∙
06/21/2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
We consider the offline reinforcement learning (RL) setting where the ag...
research
∙
07/21/2020
Learning to Compose Hypercolumns for Visual Correspondence
Feature representation plays a crucial role in visual correspondence, an...
research
∙
03/05/2020
Spherical Principal Curves
This paper presents a new approach for dimension reduction of data obser...
research
∙
08/28/2019
SPair-71k: A Large-scale Benchmark for Semantic Correspondence
Establishing visual correspondences under large intra-class variations, ...
research
∙
08/18/2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Establishing visual correspondences under large intra-class variations r...
research
∙
08/06/2018
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Semantic correspondence is the problem of establishing correspondences a...
research
∙
05/01/2018
