Manish Dhakal

4 papers · 2024–2026 · 4 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.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze ❓ The Questioner 🚀 Conference Pioneer

Venues

IJCNLP (1) MICCAI (1) MIDL (1) WACV (1)

Top co-authors

Yi Ding (2) Rabin Adhikari (2) Safal Thapaliya (2) Bishesh Khanal (2) Rajshekhar Sunderraman (1) Venkat R Dasari (1) Jack Morris (1) Sazia Tabasum Mim (1) Maria Gorlatova (1) Kanchan Poudel (1)

Research topics

Artificial Intelligence (2) Core AI (2) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Machine Learning (1) Analysis (1) Application Areas (1) Clinical (1) Learning Paradigms (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

vision-language model (2) transfer learning (1) multimodal learning (1) point cloud (1) point cloud analysis (1) medical image segmentation (1) efficient computing (1) object classification (1) preference feedback (1) parameter-efficient fine-tuning (1) open-vocabulary segmentation (1) graph convolution (1) domain shift (1) graph convolution network (1) scene description (1) graph neural network (1) unimodal language agent (1) foundation vlms (1) model compression (1) human-in-the-loop prompting (1)

Papers

GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026 Can a Unimodal Language Agent Provide Preferences to Tune a Multimodal Vision-Language Model? IJCNLP 2025 Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models MIDL 2024 VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks MICCAI 2024