activity
20202026
most citedIterative Scene Graph Generation with Generative Transformers

2 citations · 2 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

CalibFree: Self-Supervised View Feature Separation for Calibration-Free Multi-Camera Multi-Object Tracking

Ruiqi Xian, Deep Patel, Iain Melvin +3

Multi-camera multi-object tracking (MCMOT) faces significant challenges in maintaining consistent object identities across varying camera perspectives, particularly when precise ca…

cs.RO2025

EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization

Zhou Chen, Sanjoy Kundu, Harsimran S. Baweja +1

Active event perception, the ability to dynamically detect, track, and summarize events in real time, is essential for embodied intelligence in tasks such as human-AI collaboration…

cs.CV2025

Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection

Shanmukha Vellamcheti, Sanjoy Kundu, Sathyanarayanan N. Aakur

Understanding relationships between objects is central to visual intelligence, with applications in embodied AI, assistive systems, and scene understanding. Yet, most visual relati…

cs.CV2025

A Probabilistic Jump-Diffusion Framework for Open-World Egocentric Activity Recognition

Sanjoy Kundu, Shanmukha Vellamcheti, Sathyanarayanan N. Aakur

Open-world egocentric activity recognition poses a fundamental challenge due to its unconstrained nature, requiring models to infer unseen activities from an expansive, partially o…

cs.CV2025

ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition

Sanjoy Kundu, Shanmukha Vellamcheti, Sathyanarayanan N. Aakur

Open-world egocentric activity recognition poses a fundamental challenge due to its unconstrained nature, requiring models to infer unseen activities from an expansive, partially o…

cs.CV2024

ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition

Sanjoy Kundu, Shubham Trehan, Sathyanarayanan N. Aakur

Learning to infer labels in an open world, i.e., in an environment where the target "labels" are unknown, is an important characteristic for achieving autonomy. Foundation models p…

cs.CV2023

Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning

Sanjoy Kundu, Shubham Trehan, Sathyanarayanan N. Aakur

Learning to infer labels in an open world, i.e., in an environment where the target ``labels'' are unknown, is an important characteristic for achieving autonomy. Foundation models…

cs.CV2022★ 2 cited

Iterative Scene Graph Generation with Generative Transformers

Sanjoy Kundu, Sathyanarayanan N. Aakur

Scene graphs provide a rich, structured representation of a scene by encoding the entities (objects) and their spatial relationships in a graphical format. This representation has…

cs.CV2020

Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision

Sathyanarayanan N. Aakur, Sanjoy Kundu, Nikhil Gunti

Advances in deep learning have enabled the development of models that have exhibited a remarkable tendency to recognize and even localize actions in videos. However, they tend to e…