Abhinav Shrivastava

Orcid: 0000-0001-8928-8554

According to our database1, Abhinav Shrivastava authored at least 120 papers between 2011 and 2024.

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Bibliography

2024
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors.
CoRR, 2024

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.
CoRR, 2024

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions.
CoRR, 2024

GRIT: GAN Residuals for Paired Image-to-Image Translation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Leveraging Hand-Object Interactions in Assistive Egocentric Vision.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Gen2Det: Generate to Detect.
CoRR, 2023

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS.
CoRR, 2023

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval.
CoRR, 2023

Do text-free diffusion models learn discriminative visual representations?
CoRR, 2023

Multi-entity Video Transformers for Fine-Grained Video Representation Learning.
CoRR, 2023

Diffusion Models Beat GANs on Image Classification.
CoRR, 2023

Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

BT<sup>2</sup>: Backward-compatible Training with Basis Transformation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Chop & Learn: Recognizing and Generating Object-State Compositions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MOST: Multiple Object localization with Self-supervised Transformers for object discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ASIC: Aligning Sparse in-the-wild Image Collections.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility.
Proceedings of the 31st European Conference on Information Systems, 2023

COVID-VTS: Fact Extraction and Verification on Short Video Platforms.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Teaching Matters: Investigating the Role of Supervision in Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HNeRV: A Hybrid Neural Representation for Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Scalable Neural Representation for Diverse Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Align and Attend: Multimodal Summarization with Dual Contrastive Losses.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning.
CoRR, 2022

Occupancy Map Prediction for Improved Indoor Robot Navigation.
CoRR, 2022

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.
CoRR, 2022

Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach.
CoRR, 2022

Pose and Joint-Aware Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Burn After Reading: Online Adaptation for Cross-domain Streaming Data.
Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Space-Filling Curves.
Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Semantic Correspondence with Sparse Annotations.
Proceedings of the Computer Vision - ECCV 2022, 2022

ObjectFormer for Image Manipulation Detection and Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual-Key Multimodal Backdoors for Visual Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Disentangling Visual Embeddings for Attributes and Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning visual representations for transfer learning by suppressing texture.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

CNeRV: Content-adaptive Neural Representation for Visual Data.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Rethinking Pseudo Labels for Semi-supervised Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Frequency Perspective of Adversarial Robustness.
CoRR, 2021

SVMax: A Feature Embedding Regularizer.
CoRR, 2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NeRV: Neural Representations for Videos.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

No-frills Dynamic Planning using Static Planners.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Diverse Video Generation using a Gaussian Process Trigger.
Proceedings of the 9th International Conference on Learning Representations, 2021

Analyzing and Mitigating JPEG Compression Defects in Deep Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learned Spatial Representations for Few-shot Talking-Head Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LayoutTransformer: Layout Generation and Completion with Self-attention.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Discovery and Attribution of Open-world GAN Generated Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Predict Visual Attributes in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

The Lottery Ticket Hypothesis for Object Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Graphs for Knowledge Transfer With Limited Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Knowledge Evolution in Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

GTA: Global Temporal Attention for Video Action Understanding.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

HR-RCNN: Hierarchical Relational Reasoning for Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Deep Video Inpainting Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Towards a Unifying Framework for Formal Theories of Novelty.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder.
J. Imaging, 2020

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion.
CoRR, 2020

Analyzing and Mitigating Compression Defects in Deep Learning.
CoRR, 2020

Learning Visual Representations for Transfer Learning by Suppressing Texture.
CoRR, 2020

All About Knowledge Graphs for Actions.
CoRR, 2020

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.
CoRR, 2020

Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet.
CoRR, 2020

Layout Generation and Completion with Self-attention.
CoRR, 2020

Spatial Priming for Detecting Human-Object Interactions.
CoRR, 2020

Deep Depth Prior for Multi-View Stereo.
CoRR, 2020

Boosting Standard Classification Architectures Through a Ranking Regularizer.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Hand-Priming in Object Localization for Assistive Egocentric Vision.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Scalable Model Compression by Entropy Penalized Reparameterization.
Proceedings of the 8th International Conference on Learning Representations, 2020

End-to-End Learning of Compressible Features.
Proceedings of the IEEE International Conference on Image Processing, 2020

Curriculum Manager for Source Selection in Multi-source Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Generic Visualization Approach for Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Quantization Guided JPEG Artifact Correction.
Proceedings of the Computer Vision - ECCV 2020, 2020

PatchVAE: Learning Local Latent Codes for Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Detecting Human-Object Interactions via Functional Generalization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improved Modeling of 3D Shapes with Multi-view Depth Maps.
Proceedings of the 8th International Conference on 3D Vision, 2020

Depth Completion Using a View-constrained Deep Prior.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Model Compression by Entropy Penalized Reparameterization.
CoRR, 2019

Referring to Objects in Videos using Spatio-Temporal Identifying Descriptions.
CoRR, 2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems.
CoRR, 2019

Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

EvalNorm: Estimating Batch Normalization Statistics for Evaluation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Relational Action Forecasting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Tracking Emerges by Colorizing Videos.
Proceedings of the Computer Vision - ECCV 2018, 2018

Actor-Centric Relation Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Discovering and Leveraging Visual Structure for Large-Scale Recognation.
PhD thesis, 2017

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.
Proceedings of the IEEE International Conference on Computer Vision, 2017

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Beyond Skip Connections: Top-Down Modulation for Object Detection.
CoRR, 2016

Contextual Priming and Feedback for Faster R-CNN.
Proceedings of the Computer Vision - ECCV 2016, 2016

Training Region-Based Object Detectors with Online Hard Example Mining.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Cross-Stitch Networks for Multi-task Learning.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Applying artificial vision models to human scene understanding.
Frontiers Comput. Neurosci., 2015

Mid-level Elements for Object Detection.
CoRR, 2015

Watch and learn: Semi-supervised learning of object detectors from videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Data-driven exemplar model selection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Enriching Visual Knowledge Bases via Object Discovery and Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Building Part-Based Object Detectors via 3D Geometry.
Proceedings of the IEEE International Conference on Computer Vision, 2013

NEIL: Extracting Visual Knowledge from Web Data.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval.
Proceedings of the 29th International Conference on Machine Learning, 2012

Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Data-driven visual similarity for cross-domain image matching.
ACM Trans. Graph., 2011


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