Skip to content
conftrace_

Kushal Kafle

26 papers · 2016–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Jump to papers ↓
+9 more ↓ 🗺️ Taxonomy Completionist (57) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🤝 Dynamic Duo (12) 🧬 Topic Evolution 🏆 Keyword Champion 📈 Trend Setter 🔥 Unstoppable · Silver 💎 Century Club · Bronze ⚡ Prolific Year · Productive 🚀 Conference Pioneer 🗃️ Keyword Collector (109)

Papers

Plot’n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models AAAI 2026 RetouchIQ: MLLM Agents for Instruction-Based Image Retouching with Generalist Reward CVPR 2026 Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles ICCV 2025 Improving Large Vision and Language Models by Learning from a Panel of Peers ICCV 2025 MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities ACL 2025 Building Vision-Language Models on Solid Foundations with Masked Distillation CVPR 2024 Discovering and Mitigating Biases in CLIP-Based Image Editing WACV 2024 FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication CVPR 2024 FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction ECCV 2024 SCoRD: Subject-Conditional Relation Detection With Text-Augmented Data WACV 2024 Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations CVPR 2023 An Investigation of Critical Issues in Bias Mitigation Techniques WACV 2022 Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers ECCV 2022 OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses ECCV 2022 AESOP: Abstract Encoding of Stories, Objects, and Pictures ICCV 2021 Learning To Predict Visual Attributes in the Wild CVPR 2021 A negative case analysis of visual grounding methods for VQA ACL 2020 Answering Questions about Data Visualizations using Efficient Bimodal Fusion WACV 2020 On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NeurIPS 2020 REMIND Your Neural Network to Prevent Catastrophic Forgetting ECCV 2020 Answer Them All! Toward Universal Visual Question Answering Models CVPR 2019 Proceedings of the Second Workshop on Shortcomings in Vision and Language NAACL 2019 TallyQA: Answering Complex Counting Questions AAAI 2019 DVQA: Understanding Data Visualizations via Question Answering CVPR 2018 An Analysis of Visual Question Answering Algorithms ICCV 2017 Answer-Type Prediction for Visual Question Answering CVPR 2016