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09/18/2023
Dual Student Networks for Data-Free Model Stealing
Existing data-free model stealing methods use a generator to produce sam...
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09/07/2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Few-shot video action recognition is an effective approach to recognizin...
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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...
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08/24/2023
Preserving Modality Structure Improves Multi-Modal Learning
Self-supervised learning on large-scale multi-modal datasets allows lear...
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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...
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08/10/2023
Ensemble Modeling for Multimodal Visual Action Recognition
In this work, we propose an ensemble modeling approach for multimodal ac...
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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...
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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...
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07/13/2023
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition
Recent video recognition models utilize Transformer models for long-rang...
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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...
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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...
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04/06/2023
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting
Adopting contrastive image-text pretrained models like CLIP towards vide...
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04/03/2023
Video Instance Segmentation in an Open-World
Existing video instance segmentation (VIS) approaches generally follow a...
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03/31/2023
Diffusion Action Segmentation
Temporal action segmentation is crucial for understanding long-form vide...
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03/21/2023
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers
Accurate 3D mitochondria instance segmentation in electron microscopy (E...
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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...
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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,...
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11/22/2022
Person Image Synthesis via Denoising Diffusion Model
The pose-guided person image generation task requires synthesizing photo...
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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...
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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...
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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...
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09/25/2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Anomaly detection has recently gained increasing attention in the field ...
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09/10/2022
Diffusion Models in Vision: A Survey
Denoising diffusion models represent a recent emerging topic in computer...
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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...
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07/05/2022
Weakly Supervised Grounding for VQA in Vision-Language Transformers
Transformers for visual-language representation learning have been getti...
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07/05/2022
Towards Realistic Semi-Supervised Learning
Deep learning is pushing the state-of-the-art in many computer vision ap...
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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...
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06/18/2022
Self-Supervised Learning for Videos: A Survey
The remarkable success of deep learning in various domains relies on the...
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06/06/2022
Learning with Capsules: A Survey
Capsule networks were proposed as an alternative approach to Convolution...
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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...
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04/22/2022
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
We propose a novel self-supervised Video Object Segmentation (VOS) appro...
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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...
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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...
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03/28/2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Supervised deep learning methods require a large repository of annotated...
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12/03/2021
Geometric Feature Learning for 3D Meshes
Geometric feature learning for 3D meshes is central to computer graphics...
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12/02/2021
OW-DETR: Open-world Detection Transformer
Open-world object detection (OWOD) is a challenging computer vision prob...
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12/01/2021
Routing with Self-Attention for Multimodal Capsule Networks
The task of multimodal learning has seen a growing interest recently as ...
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11/17/2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Anomaly detection is commonly pursued as a one-class classification prob...
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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...
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08/20/2021
Discriminative Region-based Multi-Label Zero-Shot Learning
Multi-label zero-shot learning (ZSL) is a more realistic counter-part of...
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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...
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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...
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07/24/2021
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
This paper summarizes the TinyAction challenge which was organized in Ac...
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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...
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07/07/2021
Controlled Caption Generation for Images Through Adversarial Attacks
Deep learning is found to be vulnerable to adversarial examples. However...
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06/23/2021
Florida Wildlife Camera Trap Dataset
Trail camera imagery has increasingly gained popularity amongst biologis...
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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...
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05/22/2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Neural networks trained on real-world datasets with long-tailed label di...
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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...
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04/30/2021
