← Authors

Srikrishna Karanam

31 papers · 2015–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (57) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (17) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (140) πŸ’Ž Century Club (30) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8)

Conferences

CVPR (8) ICCV (6) WACV (6) ECCV (4) AAAI (3) EACL (1) IJCAI (1) NIPS (1) NSDI (1)

Top co-authors

Ziyan Wu (17) Terrence Chen (10) Meng Zheng (9) Aishwarya Agarwal (7) Balaji Vasan Srinivasan (7) Koustava Goswami (4) Richard J. Radke (4) Benjamin Planche (4) DAVID DOERMANN (3) Jana Kosecka (3)

Research topics

Privacy (1)

Keywords

diffusion model (8) metric learning (4) attention mechanism (4) text-to-image generation (3) knowledge distillation (3) domain generalization (2) image generation (2) image editing (2) person re-identification (2) concept learning (2) data augmentation (2) text-to-image synthesis (2) explainable ai (2) viewpoint invariance (2) federated learning (2) transfer learning (1) zero-shot learning (1) concept-based explanation (1) contrastive learning (1) representation learning (1)

Papers

Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts AAAI 2026
TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction CVPR 2025
Composing Parts for Expressive Object Generation CVPR 2025
An Image is Worth Multiple Words: Multi-Attribute Inversion for Constrained Text-to-Image Synthesis WACV 2025
AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models WACV 2025
SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation ECCV 2024
CoPL: Contextual Prompt Learning for Vision-Language Understanding AAAI 2024
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models NSDI 2024
Iterative Multi-Granular Image Editing Using Diffusion Models WACV 2024
Domain Adaptive 3D Shape Retrieval From Monocular Images WACV 2024
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis ICCV 2023
A Neural CRF-based Hierarchical Approach for Linear Text Segmentation EACL 2023
Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval WACV 2023
PseudoClick: Interactive Image Segmentation with Click Imitation ECCV 2022
SMPL-A: Modeling Person-Specific Deformable Anatomy CVPR 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation AAAI 2022
Visual Similarity Attention IJCAI 2022
Multi-Motion and Appearance Self-Supervised Moving Object Detection WACV 2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment ECCV 2022
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Spatio-Temporal Representation Factorization for Video-Based Person Re-Identification ICCV 2021
A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts CVPR 2021
Towards Visually Explaining Variational Autoencoders CVPR 2020
Hierarchical Kinematic Human Mesh Recovery ECCV 2020
Sharpen Focus: Learning With Attention Separability and Consistency ICCV 2019
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation ICCV 2019
Incremental Scene Synthesis NIPS 2019
Re-Identification With Consistent Attentive Siamese Networks CVPR 2019
End-to-End Learning of Keypoint Detector and Descriptor for Pose Invariant 3D Matching CVPR 2018
Learning Compositional Visual Concepts With Mutual Consistency CVPR 2018
Person Re-Identification With Discriminatively Trained Viewpoint Invariant Dictionaries ICCV 2015