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09/20/2023
PRAT: PRofiling Adversarial aTtacks
Intrinsic susceptibility of deep learning to adversarial examples has le...
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08/01/2023
MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers
In line with the human capacity to perceive the world by simultaneously ...
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07/31/2023
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
The rise in popularity of text-to-image generative artificial intelligen...
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07/03/2023
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input
Localization is a fundamental task in robotics for autonomous navigation...
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05/23/2023
Towards credible visual model interpretation with path attribution
Originally inspired by game-theory, path attribution framework stands ou...
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03/31/2023
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers
Saliency methods provide post-hoc model interpretation by attributing in...
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01/31/2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
Deep visual models have widespread applications in high-stake domains. H...
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01/21/2023
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Precise localization is critical for autonomous vehicles. We present a s...
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01/21/2023
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection
Annotating medical images for disease detection is often tedious and exp...
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11/21/2022
Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision
Multiple object detection and pose estimation are vital computer vision ...
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09/13/2022
Vision Transformers for Action Recognition: A Survey
Vision transformers are emerging as a powerful tool to solve computer vi...
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09/11/2022
MAiVAR: Multimodal Audio-Image and Video Action Recognizer
Currently, action recognition is predominately performed on video data a...
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03/31/2022
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds
Point cloud scene flow estimation is of practical importance for dynamic...
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02/15/2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
Artificial Intelligence (AI) relies heavily on deep learning - a technol...
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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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08/12/2021
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
Deep learning is gaining instant popularity in computer aided diagnosis ...
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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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07/07/2021
Controlled Caption Generation for Images Through Adversarial Attacks
Deep learning is found to be vulnerable to adversarial examples. However...
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06/20/2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
Backpropagation image saliency aims at explaining model predictions by e...
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06/20/2021
Attack to Fool and Explain Deep Networks
Deep visual models are susceptible to adversarial perturbations to input...
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03/28/2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes
We present Picasso, a CUDA-based library comprising novel modules for de...
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02/16/2021
Boosting Deep Transfer Learning for COVID-19 Classification
COVID-19 classification using chest Computed Tomography (CT) has been fo...
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08/20/2020
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking
Deep learning-based Multiple Object Tracking (MOT) currently relies on o...
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06/26/2020
Orthogonal Deep Models As Defense Against Black-Box Attacks
Deep learning has demonstrated state-of-the-art performance for a variet...
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11/21/2019
Empirical Autopsy of Deep Video Captioning Frameworks
Contemporary deep learning based video captioning follows encoder-decode...
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09/20/2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
We propose a spherical kernel for efficient graph convolution of 3D poin...
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09/14/2019
Adversarial Attack on Skeleton-based Human Action Recognition
Deep learning models achieve impressive performance for skeleton-based h...
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06/01/2019
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video
Advances in Deep Learning have recently made it possible to recover full...
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05/27/2019
Label Universal Targeted Attack
We introduce Label Universal Targeted Attack (LUTA) that makes a deep mo...
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02/28/2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
We propose an octree guided neural network architecture and spherical co...
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02/27/2019
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
Automatic generation of video captions is a fundamental challenge in com...
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02/15/2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
Medical Image Analysis is currently experiencing a paradigm shift due to...
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10/28/2018
Deep Affinity Network for Multiple Object Tracking
Multiple Object Tracking (MOT) plays an important role in solving many f...
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05/21/2018
Spherical Convolutional Neural Network for 3D Point Clouds
We propose a neural network for 3D point cloud processing that exploits ...
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04/12/2018
Benchmark data and method for real-time people counting in cluttered scenes using depth sensors
Real-time automatic counting of people has widespread applications in se...
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01/15/2018
Hyperspectral recovery from RGB images using Gaussian Processes
Hyperspectral cameras preserve the fine spectral details of scenes that ...
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01/02/2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Deep learning is at the heart of the current rise of machine learning an...
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11/16/2017
Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition
Human skeleton joints are popular for action analysis since they can be ...
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11/16/2017
Defense against Universal Adversarial Perturbations
Recent advances in Deep Learning show the existence of image-agnostic qu...
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09/15/2017
Viewpoint Invariant Action Recognition using RGB-D Videos
In video-based action recognition, viewpoint variations often pose major...
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11/29/2015
Sparseness helps: Sparsity Augmented Collaborative Representation for Classification
Many classification approaches first represent a test sample using the t...
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03/27/2015