C. V. Jawahar

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani et autres

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric video of skilled human activities (e.g., sports, music, dance, bike repair). 740 participants from 13 cities worldwide performed these activities in 123 …

us, gb, in, sg, co, ca, it, jp, sa (code pays fourni par la source)

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD

Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez, C. V. Jawahar

With the rapid advancements in autonomous driving, accurately predicting pedestrian behavior has become essential for ensuring safety in complex and unpredictable traffic conditions. The growing interest in this challenge highlights the need for comprehensive datasets that capture unstructured environments, enabling the development …

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD

Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez, C. V. Jawahar

With the rapid advancements in autonomous driving, accurately predicting pedestrian behavior has become essential for ensuring safety in complex and unpredictable traffic conditions. The growing interest in this challenge highlights the need for comprehensive datasets that capture unstructured environments, enabling the development …

in, sa (code pays fourni par la source)

Contrasting Low and High-Resolution Features for HER2 Scoring using Deep Learning

Ekansh Chauhan, Anila Sharma, Amit Sharma, Vikas Nishadham et autres

Breast cancer, the most common malignancy among women, requires precise detection and classification for effective treatment. Immunohistochemistry (IHC) biomarkers like HER2, ER, and PR are critical for identifying breast cancer subtypes. However, traditional IHC classification relies on pathologists' expertise, making it labor-intensive …

Visual Place Recognition in Unstructured Driving Environments

Utkarsh Rai, Shankar Gangisetty, A. H. Abdul Hafez, Anbumani Subramanian et autres

The problem of determining geolocation through visual inputs, known as Visual Place Recognition (VPR), has attracted significant attention in recent years owing to its potential applications in autonomous self-driving systems. The rising interest in these applications poses unique challenges, particularly the necessity …

in (code pays fourni par la source)

Ego4D: Around the World in 3,600 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene H. Byrne, Vincent Cartillier et autres

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, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries. …

us, it, gb, sa, sg, in, Rwanda, cl, bo, jp (code pays fourni par la source)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani et autres

We present Ego-Exo4D, a diverse, large-scale multi-modal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured ego-centric and exocentric video of skilled human activities (e.g., sports, music, dance, bike repair). 740 participants from 13 cities worldwide performed these activities in 123 …

gb, us, sg, in, bo, ca, it, jp, sa (code pays fourni par la source)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani et autres

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric video of skilled human activities (e.g., sports, music, dance, bike repair). 740 participants from 13 cities worldwide performed these activities in 123 …

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 procedure, making the manipulated object small in appearance and often occluded by the actor, leading to significant errors. …

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Kristen Grauman, Andrew Westbury, Eugene H. Byrne, Zachary Chavis et autres

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, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries. …