Publications (7)
Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
Harshit, Rahul Jana, Ritesh Kumar
The behavior of honeybees is an important ecological phenomenon not only in terms of honey and beeswax production but also due to the proliferation of flora and fauna around it. Th…
NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration
Subhajit Sanyal, Srinivas Soumitri Miriyala, Akshay Janardan Bankar +7
Latent diffusion models such as Stable Diffusion 1.5 offer strong generative priors that are highly valuable for image restoration, yet their full pipelines remain too computationa…
MoECollab: Democratizing LLM Development Through Collaborative Mixture of Experts
Harshit
Large Language Model (LLM) development has become increasingly centralized, limiting participation to well-resourced organizations. This paper introduces MoECollab, a novel framewo…
DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection
Abhishek Ameta, Sayan Banerjee, Shreyas Pandith +4
The rapid evolution of generative image models challenges existing AI-generated image detectors, particularly in open-world settings with unseen generators. Recent training-free ap…
Transparent Object Tracking Benchmark
Heng Fan, Halady Akhilesha Miththanthaya, Harshit +5
Visual tracking has achieved considerable progress in recent years. However, current research in the field mainly focuses on tracking of opaque objects, while little attention is p…
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Heng Fan, Hexin Bai, Liting Lin +11
Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmark…