4.4k citations · 9.7k across the 80 of their papers we have counts for
94 papers · 1 filter
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…
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…
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…
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,…
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…
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…
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation
Jyoti Kini, Mubarak Shah
Video Instance Segmentation is a fundamental computer vision task that deals with segmenting and tracking object instances across a video sequence. Most existing methods typically…
Video Action Detection: Analysing Limitations and Challenges
Rajat Modi, Aayush Jung Rana, Akash Kumar +4
Beyond possessing large enough size to feed data hungry machines (eg, transformers), what attributes measure the quality of a dataset? Assuming that the definitions of such attribu…
PSTR: End-to-End One-Step Person Search With Transformers
Jiale Cao, Yanwei Pang, Rao Muhammad Anwer +4
We propose a novel one-step transformer-based person search framework, PSTR, that jointly performs person detection and re-identification (re-id) in a single architecture. PSTR com…
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
Sijie Zhu, Mubarak Shah, Chen Chen
The dominant CNN-based methods for cross-view image geo-localization rely on polar transform and fail to model global correlation. We propose a pure transformer-based approach (Tra…
SPAct: Self-supervised Privacy Preservation for Action Recognition
Ishan Rajendrakumar Dave, Chen Chen, Mubarak Shah
Visual private information leakage is an emerging key issue for the fast growing applications of video understanding like activity recognition. Existing approaches for mitigating p…
OW-DETR: Open-world Detection Transformer
Akshita Gupta, Sanath Narayan, K J Joseph +3
Open-world object detection (OWOD) is a challenging computer vision problem, where the task is to detect a known set of object categories while simultaneously identifying unknown o…
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu +4
Anomaly detection is commonly pursued as a one-class classification problem, where models can only learn from normal training samples, while being evaluated on both normal and abno…
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu +5
Detecting abnormal events in video is commonly framed as a one-class classification task, where training videos contain only normal events, while test videos encompass both normal…
"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021
Ishan Dave, Naman Biyani, Brandon Clark +3
This technical report presents our approach "Knights" to solve the action recognition task on a small subset of Kinetics-400 i.e. Kinetics400ViPriors without using any extra-data.…
Discriminative Region-based Multi-Label Zero-Shot Learning
Sanath Narayan, Akshita Gupta, Salman Khan +3
Multi-label zero-shot learning (ZSL) is a more realistic counter-part of standard single-label ZSL since several objects can co-exist in a natural image. However, the occurrence of…
Video Generation from Text Employing Latent Path Construction for Temporal Modeling
Amir Mazaheri, Mubarak Shah
Video generation is one of the most challenging tasks in Machine Learning and Computer Vision fields of study. In this paper, we tackle the text to video generation problem, which…
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
Praveen Tirupattur, Aayush J Rana, Tushar Sangam +3
This paper summarizes the TinyAction challenge which was organized in ActivityNet workshop at CVPR 2021. This challenge focuses on recognizing real-world low-resolution activities…
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
Controlled Caption Generation for Images Through Adversarial Attacks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +2
Deep learning is found to be vulnerable to adversarial examples. However, its adversarial susceptibility in image caption generation is under-explored. We study adversarial example…
Florida Wildlife Camera Trap Dataset
Crystal Gagne, Jyoti Kini, Daniel Smith +1
Trail camera imagery has increasingly gained popularity amongst biologists for conservation and ecological research. Minimal human interference required to operate camera traps all…
Novel View Video Prediction Using a Dual Representation
Sarah Shiraz, Krishna Regmi, Shruti Vyas +2
We address the problem of novel view video prediction; given a set of input video clips from a single/multiple views, our network is able to predict the video from a novel view. Th…
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)
Aakash Kumar, Jyoti Kini, Mubarak Shah +1
In recent times, the scope of LIDAR (Light Detection and Ranging) sensor-based technology has spread across numerous fields. It is popularly used to map terrain and navigation info…
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
Neural networks trained on real-world datasets with long-tailed label distributions are biased towards frequent classes and perform poorly on infrequent classes. The imbalance in t…