research
∙
09/20/2023
Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images
Tracking of plant cells in images obtained by microscope is a challengin...
share
research
∙
08/26/2023
Prior-guided Source-free Domain Adaptation for Human Pose Estimation
Domain adaptation methods for 2D human pose estimation typically require...
research
∙
08/23/2023
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
Scene understanding using multi-modal data is necessary in many applicat...
research
∙
07/10/2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers
The growth and diversity of machine learning applications motivate a ret...
research
∙
05/27/2023
Collaborative Multi-Agent Video Fast-Forwarding
Multi-agent applications have recently gained significant popularity. In...
research
∙
04/03/2023
Unbiased Scene Graph Generation in Videos
The task of dynamic scene graph generation (SGG) from videos is complica...
research
∙
12/14/2022
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Most cross-domain unsupervised Video Anomaly Detection (VAD) works assum...
research
∙
10/14/2022
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments
Recent years have seen embodied visual navigation advance in two distinc...
research
∙
10/04/2022
Centroid Distance Keypoint Detector for Colored Point Clouds
Keypoint detection serves as the basis for many computer vision and robo...
research
∙
09/20/2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
State-of-the-art generative model-based attacks against image classifier...
research
∙
09/20/2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
The majority of methods for crafting adversarial attacks have focused on...
research
∙
09/08/2022
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
Cost-effective depth and infrared sensors as alternatives to usual RGB s...
research
∙
06/04/2022
Poisson2Sparse: Self-Supervised Poisson Denoising From a Single Image
Image enhancement approaches often assume that the noise is signal indep...
research
∙
04/02/2022
A-ACT: Action Anticipation through Cycle Transformations
While action anticipation has garnered a lot of research interest recent...
research
∙
03/29/2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors
Adversarial attacks perturb images such that a deep neural network produ...
research
∙
12/06/2021
Context-Aware Transfer Attacks for Object Detection
Blackbox transfer attacks for image classifiers have been extensively st...
research
∙
10/24/2021
ADC: Adversarial attacks against object Detection that evade Context consistency checks
Deep Neural Networks (DNNs) have been shown to be vulnerable to adversar...
research
∙
10/05/2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
When compared to the image classification models, black-box adversarial ...
research
∙
08/23/2021
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
The success of deep neural networks (DNNs) haspromoted the widespread ap...
research
∙
08/19/2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
Vision systems that deploy Deep Neural Networks (DNNs) are known to be v...
research
∙
08/05/2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning
Most of the existing works in supervised spatio-temporal video super-res...
research
∙
07/31/2021
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction
We study the problem of how to identify samples from unseen categories (...
research
∙
07/29/2021
Deep Quantized Representation for Enhanced Reconstruction
While machine learning approaches have shown remarkable performance in b...
research
∙
07/25/2021
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
Despite much recent progress in video-based person re-identification (re...
research
∙
05/20/2021
Cross-domain Imitation from Observations
Imitation learning seeks to circumvent the difficulty in designing prope...
research
∙
04/05/2021
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Unsupervised Domain Adaptation (UDA) aims to learn a predictor model for...
research
∙
03/15/2021
Detection and Localization of Facial Expression Manipulations
Concern regarding the wide-spread use of fraudulent images/videos in soc...
research
∙
02/03/2021
Learning to identify image manipulations in scientific publications
Adherence to scientific community standards ensures objectivity, clarity...
research
∙
10/18/2020
Exploiting Context for Robustness to Label Noise in Active Learning
Several works in computer vision have demonstrated the effectiveness of ...
research
∙
08/31/2020
ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
Existing works address the problem of generating high frame-rate sharp v...
research
∙
08/26/2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
The emergence of Internet of Things (IoT) brings about new security chal...
research
∙
08/20/2020
Text-based Localization of Moments in a Video Corpus
Prior works on text-based video moment localization focus on temporally ...
research
∙
08/13/2020
Adversarial Knowledge Transfer from Unlabeled Data
While machine learning approaches to visual recognition offer great prom...
research
∙
08/10/2020
Distributed Multi-agent Video Fast-forwarding
In many intelligent systems, a network of agents collaboratively perceiv...
research
∙
07/30/2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Learning semantic segmentation models requires a huge amount of pixel-wi...
research
∙
07/22/2020
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
Most of the existing approaches for person re-identification consider a ...
research
∙
07/21/2020
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
While supervised techniques in re-identification are extremely effective...
research
∙
07/21/2020
Learning Person Re-identification Models from Videos with Weak Supervision
Most person re-identification methods, being supervised techniques, suff...
research
∙
03/21/2020
Non-Adversarial Video Synthesis with Learned Priors
Most of the existing works in video synthesis focus on generating videos...
research
∙
11/03/2019
Learning from Trajectories via Subgoal Discovery
Learning to solve complex goal-oriented tasks with sparse terminal-only ...
research
∙
08/27/2019
Consistent Cross-view Matching for Unsupervised Person Re-identification
Most existing unsupervised person re-identificationmethods focus on lear...
research
∙
08/02/2019
Captioning Near-Future Activity Sequences
Most of the existing works on human activity analysis focus on recogniti...
research
∙
04/09/2019
Context-Aware Query Selection for Active Learning in Event Recognition
Activity recognition is a challenging problem with many practical applic...
research
∙
04/05/2019
Weakly Supervised Video Moment Retrieval From Text Queries
There have been a few recent methods proposed in text to video moment re...
research
∙
03/15/2019
Detecting GAN generated Fake Images using Co-occurrence Matrices
The advent of Generative Adversarial Networks (GANs) has brought about c...
research
∙
03/06/2019
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
With advanced image journaling tools, one can easily alter the semantic ...
research
∙
09/27/2018
Multi-View Frame Reconstruction with Conditional GAN
Multi-view frame reconstruction is an important problem particularly whe...
research
∙
08/23/2018
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval
Cross-modal retrieval between visual data and natural language descripti...
research
∙
08/07/2018
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias
While machine learning approaches to visual emotion recognition offer gr...
research
∙
08/06/2018
