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20162024
most citedRobotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review

129 citations · 221 across the 16 of their papers we have counts for

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20 papers · 1 filter

cs.CV2024

Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school Methods

Joao F. Henriques, Dylan Campbell, Tengda Han

Two years ago, Stable Diffusion achieved super-human performance at generating images with super-human numbers of fingers. Following the steady decline of its technical novelty, we…

cs.CV2024

SCENES: Subpixel Correspondence Estimation With Epipolar Supervision

Dominik A. Kloepfer, João F. Henriques, Dylan Campbell

Extracting point correspondences from two or more views of a scene is a fundamental computer vision problem with particular importance for relative camera pose estimation and struc…

cs.CV2023

LoCUS: Learning Multiscale 3D-consistent Features from Posed Images

Dominik A. Kloepfer, Dylan Campbell, João F. Henriques

An important challenge for autonomous agents such as robots is to maintain a spatially and temporally consistent model of the world. It must be maintained through occlusions, previ…

cs.CV20231 cited

Exploring Predicate Visual Context in Detecting Human-Object Interactions

Frederic Z. Zhang, Yuhui Yuan, Dylan Campbell +2

Recently, the DETR framework has emerged as the dominant approach for human--object interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are amongst…

cs.CV2022

Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching

Yujiao Shi, Xin Yu, Liu Liu +3

We address the problem of ground-to-satellite image geo-localization, that is, estimating the camera latitude, longitude and orientation (azimuth angle) by matching a query image c…

cs.CV202149 cited

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers

Mandela Patrick, Dylan Campbell, Yuki M. Asano +5

In video transformers, the time dimension is often treated in the same way as the two spatial dimensions. However, in a scene where objects or the camera may move, a physical point…