Search Results for author: Renhao Wang

Found 13 papers, 3 papers with code

Improving Distant 3D Object Detection Using 2D Box Supervision

no code implementations14 Mar 2024 Zetong Yang, Zhiding Yu, Chris Choy, Renhao Wang, Anima Anandkumar, Jose M. Alvarez

This mapping allows the depth estimation of distant objects conditioned on their 2D boxes, making long-range 3D detection with 2D supervision feasible.

3D Object Detection Depth Estimation +2

Test-Time Training on Video Streams

no code implementations11 Jul 2023 Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang

Before making a prediction on each test instance, the model is trained on the same instance using a self-supervised task, such as image reconstruction with masked autoencoders.

Image Reconstruction Panoptic Segmentation

Programmatically Grounded, Compositionally Generalizable Robotic Manipulation

no code implementations26 Apr 2023 Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao

Robots operating in the real world require both rich manipulation skills as well as the ability to semantically reason about when to apply those skills.

Imitation Learning

For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal

no code implementations10 Apr 2023 Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao

Our study yields a series of intriguing results, including the discovery that the effectiveness of pre-training is highly dependent on the choice of the downstream policy learning algorithm.

Imitation Learning Reinforcement Learning (RL)

Semantic-Aware Fine-Grained Correspondence

1 code implementation21 Jul 2022 Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao

Establishing visual correspondence across images is a challenging and essential task.

Pose Tracking Self-Supervised Learning +4

CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation

1 code implementation17 Mar 2022 Renhao Wang, Hang Zhao, Yang Gao

Many recent approaches in contrastive learning have worked to close the gap between pretraining on iconic images like ImageNet and pretraining on complex scenes like COCO.

Contrastive Learning Object +1

Equivariant Networks for Hierarchical Structures

no code implementations NeurIPS 2020 Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh

While using invariant and equivariant maps, it is possible to apply deep learning to a range of primitive data structures, a formalism for dealing with hierarchy is lacking.

Semantic Segmentation Translation

Dense Forecasting of Wildfire Smoke Particulate Matter Using Sparsity Invariant Convolutional Neural Networks

no code implementations23 Sep 2020 Renhao Wang, Ashutosh Bhudia, Brandon Dos Remedios, Minnie Teng, Raymond Ng

Accurate forecasts of fine particulate matter (PM 2. 5) from wildfire smoke are crucial to safeguarding cardiopulmonary public health.

Equivariant Maps for Hierarchical Structures

no code implementations5 Jun 2020 Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh

While using invariant and equivariant maps, it is possible to apply deep learning to a range of primitive data structures, a formalism for dealing with hierarchy is lacking.

3D Semantic Segmentation Translation

Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation

no code implementations20 Sep 2019 Renhao Wang, Adam Scibior, Frank Wood

On top of that, we extend our model with an additional latent variable and augment the dataset to train a controller that is robust to unsafe commands, such as asking it to turn into a wall.

Autonomous Driving Imitation Learning

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