Abhinav Shrivastava
98 papers · 2013–2026 · 11 venues · across top CS/AI venues
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Research topics
Machine Learning
(57)
Computer Vision
(52)
Deep Learning
(52)
Learning Types Β· Machine Learning
(32)
Artificial Intelligence
(31)
Analysis
(26)
Learning Types Β· Deep Learning
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Keywords
object detection
(9)
multimodal learning
(9)
representation learning
(7)
video compression
(7)
video understanding
(6)
convolutional neural network
(6)
implicit neural representation
(6)
zero-shot learning
(6)
self-supervised learning
(5)
contrastive learning
(5)
vision-language model
(5)
semi-supervised learning
(4)
diffusion model
(4)
neural representation
(4)
action recognition
(4)
video generation
(4)
model compression
(4)
vision transformer
(3)
unsupervised learning
(3)
generative model
(3)
Papers
Efficient and High-Fidelity Omni Modality Retrieval
CVPR 2026
How to Design and Train Your Implicit Neural Representation for Video Compression
WACV 2026
Scale Space Diffusion
CVPR 2026
UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders
CVPR 2026
A Video is Worth 10000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
WACV 2025
CoLLM: A Large Language Model for Composed Image Retrieval
CVPR 2025
Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
CoRL 2025
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
ICLR 2025
Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
ICCV 2025
Unified Framework for Open-World Compositional Zero-Shot Learning
WACV 2025
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models
EMNLP 2024
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
CVPR 2024
Composing Object Relations and Attributes for Image-Text Matching
CVPR 2024
Content-Aware Image Color Editing With Auxiliary Color Restoration Tasks
WACV 2024
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
ECCV 2024
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization
WACV 2024
Do text-free diffusion models learn discriminative visual representations?
ECCV 2024
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
ECCV 2024
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
CVPR 2024
Fast Encoding and Decoding for Implicit Video Representation
ECCV 2024
GRIT: GAN Residuals for Paired Image-to-Image Translation
WACV 2024
Investigating Style Similarity in Diffusion Models
ECCV 2024
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
ECCV 2024
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation
ECCV 2024
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement
WACV 2024
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
ECCV 2024
MaGGIe: Masked Guided Gradual Human Instance Matting
CVPR 2024
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding
CVPR 2024
Multimodality-Guided Image Style Transfer Using Cross-Modal GAN Inversion
WACV 2024
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos
NeurIPS 2024
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
ECCV 2024
Video Decomposition Prior: Editing Videos Layer by Layer
ICLR 2024
Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes
CVPR 2024
Align and Attend: Multimodal Summarization With Dual Contrastive Losses
CVPR 2023
ASIC: Aligning Sparse in-the-wild Image Collections
ICCV 2023
BT^2: Backward-compatible Training with Basis Transformation
ICCV 2023
Chop & Learn: Recognizing and Generating Object-State Compositions
ICCV 2023
COVID-VTS: Fact Extraction and Verification on Short Video Platforms
EACL 2023
FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views
CVPR 2023
HNeRV: A Hybrid Neural Representation for Videos
CVPR 2023
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
ICLR 2023
MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery
ICCV 2023
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling
CVPR 2023
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
ICCV 2023
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network
CVPR 2023
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining
ICCV 2023
Teaching Matters: Investigating the Role of Supervision in Vision Transformers
CVPR 2023
Towards Scalable Neural Representation for Diverse Videos
CVPR 2023
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
NeurIPS 2023
ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization
CVPR 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
CVPR 2022
Burn after Reading: Online Adaptation for Cross-Domain Streaming Data
ECCV 2022
Disentangling Visual Embeddings for Attributes and Objects
CVPR 2022
Dual-Key Multimodal Backdoors for Visual Question Answering
CVPR 2022
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers
ECCV 2022
Learning Semantic Correspondence with Sparse Annotations
ECCV 2022
Neural Space-Filling Curves
ECCV 2022
ObjectFormer for Image Manipulation Detection and Localization
CVPR 2022
Pose and Joint-Aware Action Recognition
WACV 2022
Rethinking Pseudo Labels for Semi-supervised Object Detection
AAAI 2022
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
CVPR 2021
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation
ICCV 2021
Diverse Video Generation using a Gaussian Process Trigger
ICLR 2021
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions
CVPR 2021
Knowledge Evolution in Neural Networks
CVPR 2021
LayoutTransformer: Layout Generation and Completion With Self-Attention
ICCV 2021
Learned Spatial Representations for Few-Shot Talking-Head Synthesis
ICCV 2021
Learning Graphs for Knowledge Transfer With Limited Labels
CVPR 2021
Learning To Predict Visual Attributes in the Wild
CVPR 2021
NeRV: Neural Representations for Videos
NeurIPS 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
NeurIPS 2021
StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis
CVPR 2021
The Lottery Ticket Hypothesis for Object Recognition
CVPR 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories Using Dual Memory
ICCV 2021
Towards a Unifying Framework for Formal Theories of Novelty
AAAI 2021
Towards Discovery and Attribution of Open-World GAN Generated Images
ICCV 2021
A Generic Visualization Approach for Convolutional Neural Networks
ECCV 2020
Boosting Standard Classification Architectures Through a Ranking Regularizer
WACV 2020
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
ECCV 2020
Detecting Human-Object Interactions via Functional Generalization
AAAI 2020
Generate, Segment, and Refine: Towards Generic Manipulation Segmentation
AAAI 2020
Hand-Priming in Object Localization for Assistive Egocentric Vision
WACV 2020
PatchVAE: Learning Local Latent Codes for Recognition
CVPR 2020
Quantization Guided JPEG Artifact Correction
ECCV 2020
Scalable Model Compression by Entropy Penalized Reparameterization
ICLR 2020
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
ICCV 2019
Referring to Objects in Videos Using Spatio-Temporal Identifying Descriptions
NAACL 2019
Relational Action Forecasting
CVPR 2019
Actor-centric Relation Network
ECCV 2018
Tracking Emerges by Colorizing Videos
ECCV 2018
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
CVPR 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
ICCV 2017
Cross-Stitch Networks for Multi-Task Learning
CVPR 2016
Training Region-Based Object Detectors With Online Hard Example Mining
CVPR 2016
Watch and Learn: Semi-Supervised Learning for Object Detectors From Video
CVPR 2015
Enriching Visual Knowledge Bases via Object Discovery and Segmentation
CVPR 2014
Building Part-Based Object Detectors via 3D Geometry
ICCV 2013
NEIL: Extracting Visual Knowledge from Web Data
ICCV 2013