Renhao Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Object Representations

Behavioral Models

Hierarchical Structures

Top Venues

Publications

Renhao Wang, Zhiding Yu, Shiyi Lan, Enze Xie, Ke Chen, Anima Anandkumar, José M. Álvarez
SF3D: SlowFast Temporal 3D Object Detection. IV (2024)
Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
Rethinking Patch Dependence for Masked Autoencoders. CoRR (2024)
Zetong Yang, Zhiding Yu, Christopher B. Choy, Renhao Wang, Anima Anandkumar, José M. Álvarez
Improving Distant 3D Object Detection Using 2D Box Supervision. CoRR (2024)
Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal. CoRR (2023)
Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
Test-Time Training on Video Streams. CoRR (2023)
Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. CoRR (2023)
Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal. ICML (2023)
Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation. ICLR (2023)
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR (2023)
Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
Semantic-Aware Fine-Grained Correspondence. ECCV (31) (2022)
Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
Semantic-Aware Fine-Grained Correspondence. CoRR (2022)
Renhao Wang, Hang Zhao, Yang Gao
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation. ECCV (31) (2022)
Renhao Wang, Hang Zhao, Yang Gao
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation. CoRR (2022)
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR (2022)
Renhao Wang, Ashutosh Bhudia, Brandon Dos Remedios, Minnie Teng, Raymond Ng
Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks. CoRR (2020)
Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh
Equivariant Networks for Hierarchical Structures. NeurIPS (2020)
Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh
Equivariant Maps for Hierarchical Structures. CoRR (2020)
Junhao Wang, Renhao Wang, Aayushi Kulshrestha, Reihaneh Rabbany
Anomaly Detection with Joint Representation Learning of Content and Connection. CoRR (2019)