no code implementations • 14 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.
1 code implementation • 25 Jan 2024 • Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg
In this work, we re-examine inter-patch dependencies in the decoding mechanism of masked autoencoders (MAE).
no code implementations • 11 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.
no code implementations • 26 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.
no code implementations • 10 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.
no code implementations • 11 Oct 2022 • Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Humans are remarkably good at understanding and reasoning about complex visual scenes.
1 code implementation • 21 Jul 2022 • Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
Establishing visual correspondence across images is a challenging and essential task.
1 code implementation • 17 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.
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.
no code implementations • 23 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.
no code implementations • 5 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.
no code implementations • 20 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.
no code implementations • 16 Jun 2019 • Junhao Wang, Renhao Wang, Aayushi Kulshrestha, Reihaneh Rabbany
Social media sites are becoming a key factor in politics.