7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harish-Chandra Research InstituteIN27 papers
- International Institute of Information TechnologyIN23 papers
- Homi Bhabha National InstituteIN20 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN20 papers
- Indian Institute of Science BangaloreIN15 papers
- Indian Institute of Technology HyderabadIN14 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Birla Institute of Technology and Science, PilaniIN10 papers
- National University of SingaporeSG9 papers
- Indian Institute of Technology KanpurIN8 papers
- Université Libre de BruxellesBE8 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN7 papers
11 papers · 2 filters
Grounding Linguistic Commands to Navigable Regions
Nivedita Rufus, Kanishk Jain, Unni Krishnan R Nair +2
Humans have a natural ability to effortlessly comprehend linguistic commands such as "park next to the yellow sedan" and instinctively know which region of the road the vehicle sho…
Deep Neural Networks for Automatic Grain-matrix Segmentation in Plane and Cross-polarized Sandstone Photomicrographs
Rajdeep Das, Ajoy Mondal, Tapan Chakraborty +1
Grain segmentation of sandstone that is partitioning the grain from its surrounding matrix/cement in the thin section is the primary step for computer-aided mineral identification…
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal +2
Natural language instructions for visual navigation often use scene descriptions (e.g., "bedroom") and object references (e.g., "green chairs") to provide a breadcrumb trail to a g…
MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation
Rishabh Baghel, Abhishek Trivedi, Tejas Ravichandran +1
We introduce MeronymNet, a novel hierarchical approach for controllable, part-based generation of multi-category objects using a single unified model. We adopt a guided coarse-to-f…
Asking questions on handwritten document collections
Minesh Mathew, Lluis Gomez, Dimosthenis Karatzas +1
This work addresses the problem of Question Answering (QA) on handwritten document collections. Unlike typical QA and Visual Question Answering (VQA) formulations where the answer…
Generating Dataset For Large-scale 3D Facial Emotion Recognition
Faizan Farooq Khan, Syed Zulqarnain Gilani
The tremendous development in deep learning has led facial expression recognition (FER) to receive much attention in the past few years. Although 3D FER has an inherent edge over i…
Airbert: In-domain Pretraining for Vision-and-Language Navigation
Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen +2
Vision-and-language navigation (VLN) aims to enable embodied agents to navigate in realistic environments using natural language instructions. Given the scarcity of domain-specific…
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting
Sravya Vardhani Shivapuja, Mansi Pradeep Khamkar, Divij Bajaj +2
Datasets for training crowd counting deep networks are typically heavy-tailed in count distribution and exhibit discontinuities across the count range. As a result, the de facto st…
BERT-Based Sentiment Analysis: A Software Engineering Perspective
Himanshu Batra, Narinder Singh Punn, Sanjay Kumar Sonbhadra +1
Sentiment analysis can provide a suitable lead for the tools used in software engineering along with the API recommendation systems and relevant libraries to be used. In this conte…
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam
Minesh Mathew, Mohit Jain, CV Jawahar
Inspired by the success of Deep Learning based approaches to English scene text recognition, we pose and benchmark scene text recognition for three Indic scripts - Devanagari, Telu…
NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions
Neel Trivedi, Anirudh Thatipelli, Ravi Kiran Sarvadevabhatla
The lack of fine-grained joints (facial joints, hand fingers) is a fundamental performance bottleneck for state of the art skeleton action recognition models. Despite this bottlene…