activity
20162022
most citedInverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image

16 citations · 59 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

14 papers · 1 filter

cs.CV20203 cited

Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing

Junru Wu, Xiang Yu, Buyu Liu +2

Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake ones arising from any type of spoofing attack. Due to the wide varieties of attacks, it is implausible to obt…

cs.LG2020

Voting-based Approaches For Differentially Private Federated Learning

Yuqing Zhu, Xiang Yu, Yi-Hsuan Tsai +4

Differentially Private Federated Learning (DPFL) is an emerging field with many applications. Gradient averaging based DPFL methods require costly communication rounds and hardly w…

cs.CV20203 cited

Object Detection with a Unified Label Space from Multiple Datasets

Xiangyun Zhao, Samuel Schulter, Gaurav Sharma +3

Given multiple datasets with different label spaces, the goal of this work is to train a single object detector predicting over the union of all the label spaces. The practical ben…

cs.CV2020

Domain Adaptive Semantic Segmentation Using Weak Labels

Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter +2

Learning semantic segmentation models requires a huge amount of pixel-wise labeling. However, labeled data may only be available abundantly in a domain different from the desired t…

cs.CV2020

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

You-Yi Jau, Rui Zhu, Hao Su +1

Estimating relative camera poses from consecutive frames is a fundamental problem in visual odometry (VO) and simultaneous localization and mapping (SLAM), where classic methods co…

cs.CV20202 cited

SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction

Sriram N N, Buyu Liu, Francesco Pittaluga +1

We propose advances that address two key challenges in future trajectory prediction: (i) multimodality in both training data and predictions and (ii) constant time inference regard…