research
∙
09/20/2023
PRAT: PRofiling Adversarial aTtacks
Intrinsic susceptibility of deep learning to adversarial examples has le...
share
research
∙
09/18/2023
Dual Student Networks for Data-Free Model Stealing
Existing data-free model stealing methods use a generator to produce sam...
research
∙
08/22/2023
Quantum-Inspired Machine Learning: a Survey
Quantum-inspired Machine Learning (QiML) is a burgeoning field, receivin...
research
∙
08/05/2023
Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation
Diffusion probabilistic models have achieved remarkable success in text ...
research
∙
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...
research
∙
07/25/2023
Spectrum-guided Multi-granularity Referring Video Object Segmentation
Current referring video object segmentation (R-VOS) techniques extract c...
research
∙
07/12/2023
A Comprehensive Overview of Large Language Models
Large Language Models (LLMs) have shown excellent generalization capabil...
research
∙
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...
research
∙
04/17/2023
Human Gesture and Gait Analysis for Autism Detection
Autism diagnosis presents a major challenge due to the vast heterogeneit...
research
∙
03/08/2023
DANet: Density Adaptive Convolutional Network with Interactive Attention for 3D Point Clouds
Local features and contextual dependencies are crucial for 3D point clou...
research
∙
03/08/2023
Full Point Encoding for Local Feature Aggregation in 3D Point Clouds
Point cloud processing methods exploit local point features and global c...
research
∙
02/26/2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework
We present Q-Cogni, an algorithmically integrated causal reinforcement l...
research
∙
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...
research
∙
01/15/2023
Learning Sparse Temporal Video Mapping for Action Quality Assessment in Floor Gymnastics
Athlete performance measurement in sports videos requires modeling long ...
research
∙
12/08/2022
Fast Parallel Bayesian Network Structure Learning
Bayesian networks (BNs) are a widely used graphical model in machine lea...
research
∙
12/08/2022
Fast Parallel Exact Inference on Bayesian Networks: Poster
Bayesian networks (BNs) are attractive, because they are graphical and i...
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...
research
∙
10/06/2022
Vision Transformer Based Model for Describing a Set of Images as a Story
Visual Story-Telling is the process of forming a multi-sentence story fr...
research
∙
09/13/2022
Vision Transformers for Action Recognition: A Survey
Vision transformers are emerging as a powerful tool to solve computer vi...
research
∙
08/12/2022
Domain-invariant Prototypes for Semantic Segmentation
Deep Learning has greatly advanced the performance of semantic segmentat...
research
∙
07/21/2022
Region Aware Video Object Segmentation with Deep Motion Modeling
Current semi-supervised video object segmentation (VOS) methods usually ...
research
∙
04/28/2022
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
Saliency detection with light field images is becoming attractive given ...
research
∙
04/16/2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Inspired by the human cognitive system, attention is a mechanism that im...
research
∙
03/28/2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Supervised deep learning methods require a large repository of annotated...
research
∙
02/15/2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
CNN architectures are generally heavy on memory and computational requir...
research
∙
01/22/2022
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
The goal of Knowledge Tracing (KT) is to estimate how well students have...
research
∙
12/03/2021
Geometric Feature Learning for 3D Meshes
Geometric feature learning for 3D meshes is central to computer graphics...
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...
research
∙
08/01/2021
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
Accurate perception of the surrounding scene is helpful for robots to ma...
research
∙
07/27/2021
Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
We propose a self-supervised spatio-temporal matching method coined Moti...
research
∙
07/07/2021
Controlled Caption Generation for Images Through Adversarial Attacks
Deep learning is found to be vulnerable to adversarial examples. However...
research
∙
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...
research
∙
06/20/2021
Attack to Fool and Explain Deep Networks
Deep visual models are susceptible to adversarial perturbations to input...
research
∙
05/03/2021
Physical world assistive signals for deep neural network classifiers – neither defense nor attack
Deep Neural Networks lead the state of the art of computer vision tasks....
research
∙
03/30/2021
Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
3D object grounding aims to locate the most relevant target object in a ...
research
∙
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...
research
∙
03/19/2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
We propose LSDAT, an image-agnostic decision-based black-box attack that...
research
∙
03/09/2021
Deep Learning based 3D Segmentation: A Survey
3D object segmentation is a fundamental and challenging problem in compu...
research
∙
12/18/2020
Self-supervised Learning with Fully Convolutional Networks
Although deep learning based methods have achieved great success in many...
research
∙
11/05/2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
Dataset bias is a problem in adversarial machine learning, especially in...
research
∙
08/25/2020
Image Colorization: A Survey and Dataset
Image colorization is an essential image processing and computer vision ...
research
∙
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...
research
∙
07/28/2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations
Deep neural networks are being widely deployed for many critical tasks d...
research
∙
07/16/2020
Odyssey: Creation, Analysis and Detection of Trojan Models
Along with the success of deep neural network (DNN) models in solving va...
research
∙
06/26/2020
Orthogonal Deep Models As Defense Against Black-Box Attacks
Deep learning has demonstrated state-of-the-art performance for a variet...
research
∙
06/11/2020
Minimum Potential Energy of Point Cloud for Robust Global Registration
In this paper, we propose a novel minimum gravitational potential energy...
research
∙
11/30/2019
Relation Graph Network for 3D Object Detection in Point Clouds
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy...
research
∙
11/21/2019
Empirical Autopsy of Deep Video Captioning Frameworks
Contemporary deep learning based video captioning follows encoder-decode...
research
∙
10/09/2019
Deep localization of protein structures in fluorescence microscopy images
Accurate localization of proteins from fluorescence microscopy images is...
research
∙
09/27/2019