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09/14/2023
CoRF : Colorizing Radiance Fields using Knowledge Distillation
Neural radiance field (NeRF) based methods enable high-quality novel-vie...
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08/27/2023
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation
Conventional Domain Adaptation (DA) methods aim to learn domain-invarian...
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08/20/2023
Strata-NeRF : Neural Radiance Fields for Stratified Scenes
Neural Radiance Field (NeRF) approaches learn the underlying 3D represen...
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06/10/2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Advances in adversarial defenses have led to a significant improvement i...
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06/01/2023
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space
Real-world objects perform complex motions that involve multiple indepen...
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05/18/2023
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
Recent progress in generative models has resulted in models that produce...
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04/20/2023
Certified Adversarial Robustness Within Multiple Perturbation Bounds
Randomized smoothing (RS) is a well known certified defense against adve...
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04/15/2023
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation
In this paper, we propose to develop a method to address unsupervised do...
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04/12/2023
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
StyleGANs are at the forefront of controllable image generation as they ...
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04/01/2023
CapsFlow: Optical Flow Estimation with Capsule Networks
We present a framework to use recently introduced Capsule Networks for s...
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03/27/2023
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement
Enhancing practical low light raw images is a difficult task due to seve...
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02/28/2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
Generalization of neural networks is crucial for deploying them safely i...
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12/28/2022
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Real-world datasets exhibit imbalances of varying types and degrees. Sev...
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10/28/2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
Universal Domain Adaptation (UniDA) deals with the problem of knowledge ...
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10/27/2022
Efficient and Effective Augmentation Strategy for Adversarial Training
Adversarial training of Deep Neural Networks is known to be significantl...
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10/18/2022
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
Self-supervision has emerged as a propitious method for visual represent...
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10/18/2022
Scaling Adversarial Training to Large Perturbation Bounds
The vulnerability of Deep Neural Networks to Adversarial Attacks has fue...
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10/04/2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks
Deep Neural Networks are known to be brittle to even minor distribution ...
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08/21/2022
Improving GANs for Long-Tailed Data through Group Spectral Regularization
Deep long-tailed learning aims to train useful deep networks on practica...
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08/07/2022
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
Progress in GANs has enabled the generation of high-resolution photoreal...
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07/27/2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
The prime challenge in unsupervised domain adaptation (DA) is to mitigat...
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07/20/2022
Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration
Unconstrained Image generation with high realism is now possible using r...
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07/04/2022
Segmentation Guided Deep HDR Deghosting
We present a motion segmentation guided convolutional neural network (CN...
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06/16/2022
A Closer Look at Smoothness in Domain Adversarial Training
Domain adversarial training has been ubiquitous for achieving invariant ...
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06/16/2022
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Conventional domain adaptation (DA) techniques aim to improve domain tra...
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04/23/2022
Towards Data-Free Model Stealing in a Hard Label Setting
Machine learning models deployed as a service (MLaaS) are susceptible to...
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04/06/2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
In this work, we introduce LEAD, an approach to discover landmarks from ...
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04/05/2022
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Available 3D human pose estimation approaches leverage different forms o...
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04/04/2022
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Articulation-centric 2D/3D pose supervision forms the core training obje...
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03/29/2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
The advances in monocular 3D human pose estimation are dominated by supe...
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02/09/2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
Open compound domain adaptation (OCDA) has emerged as a practical adapta...
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12/24/2021
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting
We propose a novel recurrent network-based HDR deghosting method for fus...
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09/18/2021
S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Unsupervised domain adaptation (DA) methods have focused on achieving ma...
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08/25/2021
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (DA) has gained substantial interest in s...
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06/17/2021
Class Balancing GAN with a Classifier in the Loop
Generative Adversarial Networks (GANs) have swiftly evolved to imitate i...
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03/20/2021
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Multi-Source Domain Adaptation (MSDA) deals with the transfer of task kn...
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11/30/2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Advances in the development of adversarial attacks have been fundamental...
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09/14/2020
Completely Self-Supervised Crowd Counting via Distribution Matching
Dense crowd counting is a challenging task that demands millions of head...
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08/04/2020
Class-Incremental Domain Adaptation
We introduce a practical Domain Adaptation (DA) paradigm called Class-In...
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08/04/2020
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
We present a deployment friendly, fast bottom-up framework for multi-per...
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08/04/2020
Appearance Consensus Driven Self-Supervised Human Mesh Recovery
We present a self-supervised human mesh recovery framework to infer huma...
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08/03/2020
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
In the emerging commercial space industry there is a drastic increase in...
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07/31/2020
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
In this paper, we propose a data-free method of extracting Impressions o...
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07/07/2020
Learning to Count in the Crowd from Limited Labeled Data
Recent crowd counting approaches have achieved excellent performance. ho...
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06/24/2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
Estimation of 3D human pose from monocular image has gained considerable...
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05/05/2020
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
Reconstructing 3D models from 2D images is one of the fundamental proble...
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04/27/2020
Adversarial Fooling Beyond "Flipping the Label"
Recent advancements in CNNs have shown remarkable achievements in variou...
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04/18/2020
Single-step Adversarial training with Dropout Scheduling
Deep learning models have shown impressive performance across a spectrum...
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04/09/2020
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Camera captured human pose is an outcome of several sources of variation...
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04/09/2020