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07/17/2023
Unified Open-Vocabulary Dense Visual Prediction
In recent years, open-vocabulary (OV) dense visual prediction (such as O...
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07/07/2023
Open-Vocabulary Object Detection via Scene Graph Discovery
In recent years, open-vocabulary (OV) object detection has attracted inc...
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05/09/2023
Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit
Automatic group emotion recognition plays an important role in understan...
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05/03/2023
"Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
Most deepfake detection methods focus on detecting spatial and/or spatio...
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04/12/2023
Real-time Trajectory-based Social Group Detection
Social group detection is a crucial aspect of various robotic applicatio...
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11/12/2022
MARLIN: Masked Autoencoder for facial video Representation LearnINg
This paper proposes a self-supervised approach to learn universal facial...
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10/06/2022
CLIP model is an Efficient Continual Learner
The continual learning setting aims to learn new tasks over time without...
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09/16/2022
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
As intensities of MRI volumes are inconsistent across institutes, it is ...
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09/13/2022
Defense against Privacy Leakage in Federated Learning
Federated Learning (FL) provides a promising distributed learning paradi...
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08/03/2022
'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation
Over the past few years, there has been an increasing interest to interp...
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07/07/2022
AV-Gaze: A Study on the Effectiveness of Audio Guided Visual Attention Estimation for Non-Profilic Faces
In challenging real-life conditions such as extreme head-pose, occlusion...
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05/14/2022
Transformer Scale Gate for Semantic Segmentation
Effectively encoding multi-scale contextual information is crucial for a...
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04/13/2022
Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
Due to its high societal impact, deepfake detection is getting active at...
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04/02/2022
Semantic-Aware Domain Generalized Segmentation
Deep models trained on source domain lack generalization when evaluated ...
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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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01/24/2022
Transformers in Medical Imaging: A Survey
Following unprecedented success on the natural language tasks, Transform...
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01/18/2022
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues
Object proposal generation is an important and fundamental task in compu...
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01/18/2022
Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching
Referring expression grounding is an important and challenging task in c...
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11/26/2021
A Volumetric Transformer for Accurate 3D Tumor Segmentation
This paper presents a Transformer architecture for volumetric medical im...
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10/23/2021
MTGLS: Multi-Task Gaze Estimation with Limited Supervision
Robust gaze estimation is a challenging task, even for deep CNNs, due to...
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08/12/2021
Automatic Gaze Analysis: A Survey of DeepLearning based Approaches
Eye gaze analysis is an important research problem in the field of compu...
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03/26/2021
On Generating Transferable Targeted Perturbations
While the untargeted black-box transferability of adversarial perturbati...
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03/25/2021
Orthogonal Projection Loss
Deep neural networks have achieved remarkable performance on a range of ...
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01/04/2021
Transformers in Vision: A Survey
Astounding results from transformer models on natural language tasks hav...
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10/19/2020
Synthesizing the Unseen for Zero-shot Object Detection
The existing zero-shot detection approaches project visual features to t...
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10/19/2020
Meta-learning the Learning Trends Shared Across Tasks
Meta-learning stands for 'learning to learn' such that generalization to...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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07/29/2020
Stylized Adversarial Defense
Deep Convolution Neural Networks (CNNs) can easily be fooled by subtle, ...
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06/17/2020
Self-supervised Knowledge Distillation for Few-shot Learning
Real-world contains an overwhelmingly large number of object classes, le...
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06/08/2020
A Self-supervised Approach for Adversarial Robustness
Adversarial examples can cause catastrophic mistakes in Deep Neural Netw...
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03/25/2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach
Humans can continuously learn new knowledge as their experience grows. I...
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03/17/2020
CycleISP: Real Image Restoration via Improved Data Synthesis
The availability of large-scale datasets has helped unleash the true pot...
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03/15/2020
Learning Enriched Features for Real Image Restoration and Enhancement
With the goal of recovering high-quality image content from its degraded...
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02/21/2020
Towards Robust and Reproducible Active Learning Using Neural Networks
Active learning (AL) is a promising ML paradigm that has the potential t...
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06/09/2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
3D shape generation is a challenging problem due to the high-dimensional...
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06/03/2019
Random Path Selection for Incremental Learning
Incremental life-long learning is a main challenge towards the long-stan...
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04/08/2019
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection
This paper proposes an approach to learn generic multi-modal mesh surfac...
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04/01/2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
Deep neural networks are vulnerable to adversarial attacks, which can fo...
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01/23/2019
Max-margin Class Imbalanced Learning with Gaussian Affinity
Real-world object classes appear in imbalanced ratios. This poses a sign...
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01/22/2019
Striking the Right Balance with Uncertainty
Learning unbiased models on imbalanced datasets is a significant challen...
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01/07/2019
Image Super-Resolution as a Defense Against Adversarial Attacks
Convolutional Neural Networks have achieved significant success across m...
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04/27/2018
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
Variational auto-encoders (VAEs) provide an attractive solution to image...
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11/23/2017
Regularization of Deep Neural Networks with Spectral Dropout
The big breakthrough on the ImageNet challenge in 2012 was partially due...
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06/18/2015
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification
Unlike standard object classification, where the image to be classified ...
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06/17/2015