activity
20242026
collaborators

8 papers

cs.CV2026

Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation

Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak +2

Automated polyp segmentation in colonoscopy continues to pose challenges due to substantial appearance variations and indistinct polyp boundaries. Although emerging foundation mode…

cs.CV2026

Sharpening Lightweight Models for Generalized Polyp Segmentation: A Boundary Guided Distillation from Foundation Models

Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak

Automated polyp segmentation is critical for early colorectal cancer detection and its prevention, yet remains challenging due to weak boundaries, large appearance variations, and…

cs.CV2026

B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition

Nishit Poddar, Aglind Reka, Diana-Laura Borza +4

Micro-actions, fleeting and low-amplitude motions, such as glances, nods, or minor posture shifts, carry rich social meaning but remain difficult for current action recognition mod…

cs.CV2025

From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation

Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak +1

Accurate polyp segmentation during colonoscopy is critical for the early detection of colorectal cancer and still remains challenging due to significant size, shape, and color vari…

cs.CV2025

Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection

Giacomo D'Amicantonio, Snehashis Majhi, Quan Kong +4

Video Anomaly Detection (VAD) is a challenging task due to the variability of anomalous events and the limited availability of labeled data. Under the Weakly-Supervised VAD (WSVAD)…

cs.CV2025

Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation

Tapas K. Dutta, Snehashis Majhi, Deepak Ranjan Nayak +1

Polyp segmentation in colonoscopy images is crucial for early detection and diagnosis of colorectal cancer. However, this task remains a significant challenge due to the substantia…