Balaji Krishnamurthy

45 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (7) 🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)

🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) 🗺️ Taxonomy Completionist (79) 🤝 Dynamic Duo (13) 🧬 Topic Evolution 🚀 Conference Pioneer 🔥 Unstoppable (8) 📈 Trend Setter 💎 Century Club (44) 🗃️ Keyword Collector (178) ⚡ Prolific Year (6)

Conferences

WACV (12) ICLR (8) AAAI (5) ACL (3) CVPR (3) ECCV (3) EMNLP (3) ICCV (2) IJCAI (2) NAACL (2) EACL (1) IJCNLP (1)

Top co-authors

Milan Aggarwal (13) Mausoom Sarkar (10) Sumit Bhatia (9) Rajiv Ratn Shah (8) Changyou Chen (8) Yaman Kumar Singla (7) Surgan Jandial (7) Mayur Hemani (6) Rishabh Jain (6) Ayush Chopra (5)

Keywords

image generation (7) multimodal learning (6) large language model (4) generative model (4) language model (4) semantic segmentation (4) image editing (3) image segmentation (3) model compression (3) adversarial attack (2) few-shot learning (2) document classification (2) multi-modal learning (2) variational inference (2) representation learning (2) self-supervised learning (2) attention mechanism (2) transfer learning (2) data augmentation (2) efficient computing (2)

Papers

AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent WACV 2026 ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models AAAI 2026 BrandFusion: Aligning Image Generation with Brand Styles WACV 2026 It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation ICLR 2025 Teaching Human Behavior Improves Content Understanding Abilities Of VLMs ICLR 2025 AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models CVPR 2025 Measuring And Improving Persuasiveness Of Large Language Models ICLR 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Measuring And Improving Engagement of Text-to-Image Generation Models ICLR 2025 Long-Term Ad Memorability: Understanding & Generating Memorable Ads WACV 2025 ReEdit: Multimodal Exemplar-Based Image Editing WACV 2025 Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior ICLR 2024 Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract) AAAI 2024 CABINET: Content Relevance-based Noise Reduction for Table Question Answering ICLR 2024 All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation AAAI 2024 Synthesizing Human Gaze Feedback for Improved NLP Performance EACL 2023 Persuasion Strategies in Advertisements AAAI 2023 HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model ACL 2023 VGFlow: Visibility Guided Flow Network for Human Reposing CVPR 2023 Parameter Efficient Local Implicit Image Function Network for Face Segmentation CVPR 2023 A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot EMNLP 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 UMFuse: Unified Multi View Fusion for Human Editing Applications ICCV 2023 Explaining RL Decisions with Trajectories ICLR 2023 One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text WACV 2023 CoSe-Co: Text Conditioned Generative CommonSense Contextualizer NAACL 2022 Data InStance Prior (DISP) in Generative Adversarial Networks WACV 2022 Distilling the Undistillable: Learning from a Nasty Teacher ECCV 2022 MINIMAL: Mining Models for Universal Adversarial Triggers AAAI 2022 LM-CORE: Language Models with Contextually Relevant External Knowledge NAACL 2022 SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval WACV 2022 LT-GAN: Self-Supervised GAN With Latent Transformation Detection WACV 2021 TAN-NTM: Topic Attention Networks for Neural Topic Modeling IJCNLP 2021 ZFlow: Gated Appearance Flow-Based Virtual Try-On With 3D Priors ICCV 2021 TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021 Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution ICLR 2020 Form2Seq : A Framework for Higher-Order Form Structure Extraction EMNLP 2020 SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation IJCAI 2020 Multi-Modal Association based Grouping for Form Structure Extraction WACV 2020 SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On WACV 2020 Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020 Towards a Unified Framework for Visual Compatibility Prediction WACV 2020 Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation ECCV 2020 Attributional Robustness Training using Input-Gradient Spatial Alignment ECCV 2020 Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models IJCAI 2019