C.V. Jawahar

papers

641

total citations

papers (10)

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

CVPR 2024arXiv

343

citations

Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis

CVPR 2020arXiv

133

citations

My View Is the Best View: Procedure Learning from Egocentric Videos

ECCV 2022arXiv

citations

Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances

ECCV 2020arXiv

citations

Grounded Video Situation Recognition

NEURIPS 2022arXiv

citations

TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

ECCV 2022arXiv

citations

Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data

AAAI 2024

citations

C.V. Jawahar

papers (10)

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

Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis

My View Is the Best View: Procedure Learning from Egocentric Videos

Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances

Grounded Video Situation Recognition

TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data

A Dataset for Semantic Segmentation in the Presence of Unknowns

Recurrent Image Annotation With Explicit Inter-Label Dependencies

Towards Safer and Understandable Driver Intention Prediction

papers (10)

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

Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis

My View Is the Best View: Procedure Learning from Egocentric Videos

Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances

Grounded Video Situation Recognition

TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data

A Dataset for Semantic Segmentation in the Presence of Unknowns

Recurrent Image Annotation With Explicit Inter-Label Dependencies

Towards Safer and Understandable Driver Intention Prediction