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Wanyue Zhang

4 accepted papers

2025

BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects

Wanyue Zhang, Rishabh Dabral, Vladislav Golyanik, Vasileios Choutas, Eduardo Alvarado, Thabo Beeler +2
CVPR 2025poster

We present BimArt, a novel generative approach for synthesizing 3D bimanual hand interactions with articulated objects. Unlike prior works, we do not rely on a reference grasp, a coarse hand trajectory, or separate modes for grasping and articulating. To achieve this, we first generate distance-base…

Cited by 2Source ↗PDF ↗Scholar ↗
2022

Few-Shot Adaptation of Pre-Trained Networks for Domain Shift

Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo
IJCAI 2022poster

Deep networks are prone to performance degradation when there is a domain shift between the source (training) data and target (test) data. Recent test-time adaptation methods update batch normalization layers of pre-trained source models deployed in new target environments with streaming data. Altho…

Cited by 23Source ↗PDF ↗code ↗Scholar ↗
2022

Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels

Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan Kankanhalli
CVPR 2022poster

In this paper, we propose an unsupervised domain adaptation method for deep point cloud representation learning. To model the internal structures in target point clouds, we first propose to learn the global representations of unlabeled data by scaling up or down point clouds and then predicting the…

Cited by 68PDF ↗Scholar ↗
2020

An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds

Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser +1
ECCV 2020poster

Detecting objects in 3D LiDAR data is a core technology for autonomous driving and other robotics applications. Although LiDAR data is acquired over time, most of the 3D object detection algorithms propose object bounding boxes independently for each frame and neglect the useful information availabl…

Cited by 136Source ↗PDF ↗Scholar ↗