2.1k citations · 5.6k across the 30 of their papers we have counts for
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UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding
Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen +2
Performing 3D dense captioning and visual grounding requires a common and shared understanding of the underlying multimodal relationships. However, despite some previous attempts o…
Exploring Long-Sequence Masked Autoencoders
Ronghang Hu, Shoubhik Debnath, Saining Xie +1
Masked Autoencoding (MAE) has emerged as an effective approach for pre-training representations across multiple domains. In contrast to discrete tokens in natural languages, the in…
Test-Time Training with Masked Autoencoders
Yossi Gandelsman, Yu Sun, Xinlei Chen +1
Test-time training adapts to a new test distribution on the fly by optimizing a model for each test input using self-supervision. In this paper, we use masked autoencoders for this…
On the Importance of Asymmetry for Siamese Representation Learning
Xiao Wang, Haoqi Fan, Yuandong Tian +2
Many recent self-supervised frameworks for visual representation learning are based on certain forms of Siamese networks. Such networks are conceptually symmetric with two parallel…
Point-Level Region Contrast for Object Detection Pre-Training
Yutong Bai, Xinlei Chen, Alexander Kirillov +2
In this work we present point-level region contrast, a self-supervised pre-training approach for the task of object detection. This approach is motivated by the two key factors in…