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09/19/2023
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
We study a challenging problem of unsupervised discovery of object landm...
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09/06/2023
Multiclass Alignment of Confidence and Certainty for Network Calibration
Deep neural networks (DNNs) have made great strides in pushing the state...
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08/27/2023
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
Diabetic Retinopathy (DR), a leading cause of vision impairment, require...
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07/18/2023
Unsupervised Deep Graph Matching Based on Cycle Consistency
We contribute to the sparsely populated area of unsupervised deep graph ...
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06/14/2023
Multiclass Confidence and Localization Calibration for Object Detection
Albeit achieving high predictive accuracy across many challenging comput...
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03/25/2023
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
Deep neural networks (DNNs) have enabled astounding progress in several ...
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03/10/2023
Single-branch Network for Multimodal Training
With the rapid growth of social media platforms, users are sharing billi...
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12/09/2022
MSI: Maximize Support-Set Information for Few-Shot Segmentation
FSS(Few-shot segmentation)Â aims to segment a target class with a small n...
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09/15/2022
Towards Improving Calibration in Object Detection Under Domain Shift
The increasing use of deep neural networks in safety-critical applicatio...
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08/22/2022
Learning Branched Fusion and Orthogonal Projection for Face-Voice Association
Recent years have seen an increased interest in establishing association...
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07/25/2022
Self-Distilled Vision Transformer for Domain Generalization
In recent past, several domain generalization (DG) methods have been pro...
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03/24/2022
Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer
State-of-the-art transformer-based video instance segmentation (VIS) app...
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03/24/2022
HMFS: Hybrid Masking for Few-Shot Segmentation
We study few-shot semantic segmentation that aims to segment a target ob...
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03/08/2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Video anomaly detection is well investigated in weakly-supervised and on...
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01/24/2022
Transformers in Medical Imaging: A Survey
Following unprecedented success on the natural language tasks, Transform...
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12/20/2021
Fusion and Orthogonal Projection for Improved Face-Voice Association
We study the problem of learning association between face and voice, whi...
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12/06/2021
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
Accurate and robust visual object tracking is one of the most challengin...
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10/01/2021
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
We study adapting trained object detectors to unseen domains manifesting...
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04/26/2021
Rich Semantics Improve Few-shot Learning
Human learning benefits from multi-modal inputs that often appear as ric...
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10/17/2019
Deep Contextual Attention for Human-Object Interaction Detection
Human-object interaction detection is an important and relatively new cl...
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10/14/2019
Mask-Guided Attention Network for Occluded Pedestrian Detection
Pedestrian detection relying on deep convolution neural networks has mad...
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09/11/2019
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
Being heavily reliant on animals, it is our ethical obligation to improv...
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11/03/2018
