activity
20132023
most citedMultiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

616 citations · 2.1k across the 63 of their papers we have counts for

collaborators

70 papers

cs.RO2023★ 1 cited

Learning Vision-based Pursuit-Evasion Robot Policies

Andrea Bajcsy, Antonio Loquercio, Ashish Kumar +1

Learning strategic robot behavior -- like that required in pursuit-evasion interactions -- under real-world constraints is extremely challenging. It requires exploiting the dynamic…

cs.CV2023★ 19 cited

EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding

Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik

We introduce EgoSchema, a very long-form video question-answering dataset, and benchmark to evaluate long video understanding capabilities of modern vision and language systems. De…

cs.CV2023

Learning Space-Time Semantic Correspondences

Du Tran, Jitendra Malik

We propose a new task of space-time semantic correspondence prediction in videos. Given a source video, a target video, and a set of space-time key-points in the source video, the…

cs.RO2023★ 4 cited

Robot Learning with Sensorimotor Pre-training

Ilija Radosavovic, Baifeng Shi, Letian Fu +3

We present a self-supervised sensorimotor pre-training approach for robotics. Our model, called RPT, is a Transformer that operates on sequences of sensorimotor tokens. Given a seq…

cs.CV2023★ 61 cited

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles

Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya +10

Modern hierarchical vision transformers have added several vision-specific components in the pursuit of supervised classification performance. While these components lead to effect…

cs.CV2023★ 10 cited

Humans in 4D: Reconstructing and Tracking Humans with Transformers

Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran +2

We present an approach to reconstruct humans and track them over time. At the core of our approach, we propose a fully "transformerized" version of a network for human mesh recover…