activity
20122023
most citedUCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

4.4k citations · 9.7k across the 80 of their papers we have counts for

collaborators

104 papers

cs.CV2023★ 1 cited

EventTransAct: A video transformer-based framework for Event-camera based action recognition

Tristan de Blegiers, Ishan Rajendrakumar Dave, Adeel Yousaf +1

Recognizing and comprehending human actions and gestures is a crucial perception requirement for robots to interact with humans and carry out tasks in diverse domains, including se…

cs.CV2023★ 1 cited

Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes

Brandon Clark, Alec Kerrigan, Parth Parag Kulkarni +2

Determining the exact latitude and longitude that a photo was taken is a useful and widely applicable task, yet it remains exceptionally difficult despite the accelerated progress…

cs.CV2022

3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds

Jyoti Kini, Ajmal Mian, Mubarak Shah

We propose a method for joint detection and tracking of multiple objects in 3D point clouds, a task conventionally treated as a two-step process comprising object detection followe…

cs.CV2022★ 3 cited

TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial Videos

Tushar Sangam, Ishan Rajendrakumar Dave, Waqas Sultani +1

Drone-to-drone detection using visual feed has crucial applications, such as detecting drone collisions, detecting drone attacks, or coordinating flight with other drones. However,…

cs.CV2022★ 1 cited

GAMa: Cross-view Video Geo-localization

Shruti Vyas, Chen Chen, Mubarak Shah

The existing work in cross-view geo-localization is based on images where a ground panorama is matched to an aerial image. In this work, we focus on ground videos instead of images…

cs.CV2022

Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging

Jyoti Kini, Fahad Shahbaz Khan, Salman Khan +1

We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation. Dist…