activity
20182026
most citedLearning Human Poses from Actions

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

MV2: Multi-View Multi-Vehicle Driving Dataset for Novel View Synthesis

Sanjay Bhargav Dharavath, Hanvitha Saraswathi Mukkamala, Faizan Farooq Khan +4

Differentiable rendering has advanced novel view synthesis (NVS), yet applying it to real-world driving remains difficult due to sparse capture viewpoints, dynamic objects, and lim…

cs.CV2026

How Does India Cook Biryani?

Shubham Goel, Farzana S, C V Rishi +2

Biryani, one of India's most celebrated dishes, exhibits remarkable regional diversity in its preparation, ingredients, and presentation. With the growing availability of online co…

cs.CV2026

PhyEduVideo: A Benchmark for Evaluating Text-to-Video Models for Physics Education

Megha Mariam K. M, Aditya Arun, Zakaria Laskar +1

Generative AI models, particularly Text-to-Video (T2V) systems, offer a promising avenue for transforming science education by automating the creation of engaging and intuitive vis…

cs.CV2020

Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances

Aditya Arun, C. V. Jawahar, M. Pawan Kumar

Recent approaches for weakly supervised instance segmentations depend on two components: (i) a pseudo label generation model that provides instances which are consistent with a giv…

cs.CV2018

Dissimilarity Coefficient based Weakly Supervised Object Detection

Aditya Arun, C. V. Jawahar, M. Pawan Kumar

We consider the problem of weakly supervised object detection, where the training samples are annotated using only image-level labels that indicate the presence or absence of an ob…

cs.CV2018★ 1 cited

Learning Human Poses from Actions

Aditya Arun, C. V. Jawahar, M. Pawan Kumar

We consider the task of learning to estimate human pose in still images. In order to avoid the high cost of full supervision, we propose to use a diverse data set, which consists o…