69 citations · 75 across the 8 of their papers we have counts for
7 papers · 1 filter
Forget Less by Learning Together through Concept Consolidation
Arjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande +2
Custom Diffusion Models (CDMs) have gained significant attention due to their remarkable ability to personalize generative processes. However, existing CDMs suffer from catastrophi…
Learning Action Hierarchies via Hybrid Geometric Diffusion
Arjun Ramesh Kaushik, Nalini K. Ratha, Venu Govindaraju
Temporal action segmentation is a critical task in video understanding, where the goal is to assign action labels to each frame in a video. While recent advances leverage iterative…
Forget Less by Learning from Parents Through Hierarchical Relationships
Arjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande +2
Custom Diffusion Models (CDMs) offer impressive capabilities for personalization in generative modeling, yet they remain vulnerable to catastrophic forgetting when learning new con…
Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
Dennis Fedorishin, Deen Dayal Mohan, Bhavin Jawade +2
Learning to localize the sound source in videos without explicit annotations is a novel area of audio-visual research. Existing work in this area focuses on creating attention maps…
Active Face Frontalization using Commodity Unmanned Aerial Vehicles
Nagashri Lakshminarayana, Yifang Liu, Karthik Dantu +2
This paper describes a system by which Unmanned Aerial Vehicles (UAVs) can gather high-quality face images that can be used in biometric identification tasks. Success in face-based…
CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System
Neeti Narayan, Nishant Sankaran, Srirangaraj Setlur +1
Tracking multiple people across multiple cameras is an open problem. It is typically divided into two tasks: (i) single-camera tracking (SCT) - identify trajectories in the same sc…