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Shubhankar Borse

18 papers · 2021–2026 · 7 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.

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (41) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🀝 Dynamic Duo (17) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (91)

Papers

Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation CVPR 2026 Resolving the Identity Crisis in Text-to-Image Generation CVPR 2026 DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization ICCV 2025 LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation ICLR 2025 Understanding Personal Concept in Open-Vocabulary Semantic Segmentation ICCV 2025 Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models ICML 2025 FouRA: Fourier Low-Rank Adaptation NeurIPS 2024 Sparse High Rank Adapters NeurIPS 2024 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction ICCV 2023 DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction CVPR 2023 Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild ICLR 2023 X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection CVPR 2023 X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation WACV 2023 AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation WACV 2022 Learning Implicit Feature Alignment Function for Semantic Segmentation ECCV 2022 Panoptic, Instance and Semantic Relations: A Relational Context Encoder To Enhance Panoptic Segmentation CVPR 2022 Perceptual Consistency in Video Segmentation WACV 2022 InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021