b'Mubarak Shah'

research

∙ 09/18/2023

Dual Student Networks for Data-Free Model Stealing

Existing data-free model stealing methods use a generator to produce sam...

0 James Beetham, et al. ∙

research

∙ 09/07/2023

CDFSL-V: Cross-Domain Few-Shot Learning for Videos

Few-shot video action recognition is an effective approach to recognizin...

0 Sarinda Samarasinghe, et al. ∙

research

∙ 08/25/2023

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

Recognizing and comprehending human actions and gestures is a crucial pe...

0 Tristan de Blegiers, et al. ∙

research

∙ 08/24/2023

Preserving Modality Structure Improves Multi-Modal Learning

Self-supervised learning on large-scale multi-modal datasets allows lear...

0 Swetha Sirnam, et al. ∙

research

∙ 08/21/2023

TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection

Video anomaly detection (VAD) without human monitoring is a complex comp...

0 Joseph Fioresi, et al. ∙

research

∙ 08/10/2023

Ensemble Modeling for Multimodal Visual Action Recognition

In this work, we propose an ensemble modeling approach for multimodal ac...

0 jyoti-kini, et al. ∙

research

∙ 08/02/2023

Reverse Stable Diffusion: What prompt was used to generate this image?

Text-to-image diffusion models such as Stable Diffusion have recently at...

0 Florinel-Alin Croitoru, et al. ∙

research

∙ 07/14/2023

Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

It is imperative to ensure the robustness of deep learning models in cri...

0 Asif Hanif, et al. ∙

research

∙ 07/13/2023

Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition

Recent video recognition models utilize Transformer models for long-rang...

0 Syed Talal Wasim, et al. ∙

research

∙ 06/21/2023

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors

We propose an efficient abnormal event detection model based on a lightw...

0 Nicolae-Catalin Ristea, et al. ∙

research

∙ 06/15/2023

Exploiting the Brain's Network Structure for Automatic Identification of ADHD Subjects

Attention Deficit Hyperactive Disorder (ADHD) is a common behavioral pro...

0 Soumyabrata Dey, et al. ∙

research

∙ 04/06/2023

Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting

Adopting contrastive image-text pretrained models like CLIP towards vide...

0 Syed Talal Wasim, et al. ∙

research

∙ 04/03/2023

Video Instance Segmentation in an Open-World

Existing video instance segmentation (VIS) approaches generally follow a...

0 Omkar Thawakar, et al. ∙

research

∙ 03/31/2023

Diffusion Action Segmentation

Temporal action segmentation is crucial for understanding long-form vide...

0 Daochang Liu, et al. ∙

research

∙ 03/21/2023

3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Accurate 3D mitochondria instance segmentation in electron microscopy (E...

0 Omkar Thawakar, et al. ∙

research

∙ 03/07/2023

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

Determining the exact latitude and longitude that a photo was taken is a...

0 Brandon Clark, et al. ∙

research

∙ 11/28/2022

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation

We propose a very fast frame-level model for anomaly detection in video,...

0 Nicolae-Catalin Ristea, et al. ∙

research

∙ 11/22/2022

Person Image Synthesis via Denoising Diffusion Model

The pose-guided person image generation task requires synthesizing photo...

0 Ankan Kumar Bhunia, et al. ∙

research

∙ 11/01/2022

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

We propose a method for joint detection and tracking of multiple objects...

0 jyoti-kini, et al. ∙

research

∙ 10/23/2022

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future

In this paper, we review adversarial pretraining of self-supervised deep...

0 Guo-Jun Qi, et al. ∙

research

∙ 10/16/2022

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

Drone-to-drone detection using visual feed has crucial applications like...

0 Tushar Sangam, et al. ∙

research

∙ 09/25/2022

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection

Anomaly detection has recently gained increasing attention in the field ...

54 Neelu Madan, et al. ∙

research

∙ 09/10/2022

Diffusion Models in Vision: A Survey

Denoising diffusion models represent a recent emerging topic in computer...

187 Florinel-Alin Croitoru, et al. ∙

research

∙ 07/16/2022

SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection

A self-supervised multi-task learning (SSMTL) framework for video anomal...

0 Antonio Barbalau, et al. ∙

research

∙ 07/05/2022

Weakly Supervised Grounding for VQA in Vision-Language Transformers

Transformers for visual-language representation learning have been getti...

0 Aisha Urooj Khan, et al. ∙

research

∙ 07/05/2022

Towards Realistic Semi-Supervised Learning

Deep learning is pushing the state-of-the-art in many computer vision ap...

0 Mamshad Nayeem Rizve, et al. ∙

research

∙ 07/05/2022

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

Semi-supervised learning (SSL) is one of the dominant approaches to addr...

10 Mamshad Nayeem Rizve, et al. ∙

research

∙ 06/18/2022

Self-Supervised Learning for Videos: A Survey

The remarkable success of deep learning in various domains relies on the...

0 Madeline C. Schiappa, et al. ∙

research

∙ 06/06/2022

Learning with Capsules: A Survey

Capsule networks were proposed as an alternative approach to Convolution...

4 Fabio De Sousa Ribeiro, et al. ∙

research

∙ 05/24/2022

EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling

This work presents strategies to learn an Energy-Based Model (EBM) accor...

5 Mitch Hill, et al. ∙

research

∙ 04/22/2022

Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging

We propose a novel self-supervised Video Object Segmentation (VOS) appro...

0 jyoti-kini, et al. ∙

research

∙ 04/22/2022

Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation

Video Instance Segmentation is a fundamental computer vision task that d...

0 jyoti-kini, et al. ∙

research

∙ 04/07/2022

PSTR: End-to-End One-Step Person Search With Transformers

We propose a novel one-step transformer-based person search framework, P...

2 Jiale Cao, et al. ∙

research

∙ 03/28/2022

UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning

Supervised deep learning methods require a large repository of annotated...

75 Nazmul Karim, et al. ∙

research

∙ 12/03/2021

Geometric Feature Learning for 3D Meshes

Geometric feature learning for 3D meshes is central to computer graphics...

0 Huan Lei, et al. ∙

research

∙ 12/02/2021

OW-DETR: Open-world Detection Transformer

Open-world object detection (OWOD) is a challenging computer vision prob...

3 Akshita Gupta, et al. ∙

research

∙ 12/01/2021

Routing with Self-Attention for Multimodal Capsule Networks

The task of multimodal learning has seen a growing interest recently as ...

0 Kevin Duarte, et al. ∙

research

∙ 11/17/2021

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

Anomaly detection is commonly pursued as a one-class classification prob...

19 Nicolae-Catalin Ristea, et al. ∙

research

∙ 11/16/2021

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

Detecting abnormal events in video is commonly framed as a one-class cla...

15 Andra Acsintoae, et al. ∙

research

∙ 08/20/2021

Discriminative Region-based Multi-Label Zero-Shot Learning

Multi-label zero-shot learning (ZSL) is a more realistic counter-part of...

7 Sanath Narayan, et al. ∙

research

∙ 08/01/2021

Advances in adversarial attacks and defenses in computer vision: A survey

Deep Learning (DL) is the most widely used tool in the contemporary fiel...

50 Naveed Akhtar, et al. ∙

research

∙ 07/29/2021

Video Generation from Text Employing Latent Path Construction for Temporal Modeling

Video generation is one of the most challenging tasks in Machine Learnin...

20 Amir Mazaheri, et al. ∙

research

∙ 07/24/2021

TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos

This paper summarizes the TinyAction challenge which was organized in Ac...

0 Praveen Tirupattur, et al. ∙

research

∙ 07/19/2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Crowd counting on the drone platform is an interesting topic in computer...

2 Dawei Du, et al. ∙

research

∙ 07/07/2021

Controlled Caption Generation for Images Through Adversarial Attacks

Deep learning is found to be vulnerable to adversarial examples. However...

0 Nayyer Aafaq, et al. ∙

research

∙ 06/23/2021

Florida Wildlife Camera Trap Dataset

Trail camera imagery has increasingly gained popularity amongst biologis...

4 Crystal Gagne, et al. ∙

research

∙ 06/07/2021

Novel View Video Prediction Using a Dual Representation

We address the problem of novel view video prediction; given a set of in...

0 Sarah Shiraz, et al. ∙

research

∙ 05/22/2021

PLM: Partial Label Masking for Imbalanced Multi-label Classification

Neural networks trained on real-world datasets with long-tailed label di...

12 Kevin Duarte, et al. ∙

research

∙ 05/11/2021

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules

The problem of grounding VQA tasks has seen an increased attention in th...

0 Aisha Urooj Khan, et al. ∙

research

∙ 04/30/2021

Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities

Action recognition and detection in the context of long untrimmed video ...

0 Sirnam Swetha, et al. ∙

Mubarak Shah

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