25 citations · 58 across the 11 of their papers we have counts for
12 papers
Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation
Siddhant Bansal, Zhifan Zhu, Shashank Tripathi +3
Estimating accurate 3D hand-object pose from in-the-wild egocentric RGB remains challenging due to severe occlusions and ambiguous contact. Existing learning-based methods often st…
Reconstructing Objects along Hand Interaction Timelines in Egocentric Video
Zhifan Zhu, Siddhant Bansal, Shashank Tripathi +1
We introduce the task of Reconstructing Objects along Hand Interaction Timelines (ROHIT). We first define the Hand Interaction Timeline (HIT) from a rigid object's perspective. In…
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha +16
We present a validation dataset of newly-collected kitchen-based egocentric videos, manually annotated with highly detailed and interconnected ground-truth labels covering: recipe…
HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision
Siddhant Bansal, Michael Wray, Dima Damen
Large Vision Language Models (VLMs) are now the de facto state-of-the-art for a number of tasks including visual question answering, recognising objects, and spatial referral. In t…
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos
Siddhant Bansal, Chetan Arora, C. V. Jawahar
Given multiple videos of the same task, procedure learning addresses identifying the key-steps and determining their order to perform the task. For this purpose, existing approache…
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric…
An Outlook into the Future of Egocentric Vision
Chiara Plizzari, Gabriele Goletto, Antonino Furnari +5
What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing, with…
My View is the Best View: Procedure Learning from Egocentric Videos
Siddhant Bansal, Chetan Arora, C. V. Jawahar
Procedure learning involves identifying the key-steps and determining their logical order to perform a task. Existing approaches commonly use third-person videos for learning the p…
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…
Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
Siddhant Bansal, Praveen Krishnan, C. V. Jawahar
We propose a novel scheme for improving the word recognition accuracy using word image embeddings. We use a trained text recognizer, which can predict multiple text hypothesis for…
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval
Siddhant Bansal, Praveen Krishnan, C. V. Jawahar
Recognition and retrieval of textual content from the large document collections have been a powerful use case for the document image analysis community. Often the word is the basi…
AGDC: Automatic Garbage Detection and Collection
Siddhant Bansal, Seema Patel, Ishita Shah +3
Waste management is one of the significant problems throughout the world. Contemporaneous methods find it difficult to manage the volume of solid waste generated by the growing urb…