25 citations · 66 across the 30 of their papers we have counts for
12 papers · 1 filter
3D-NVS: A 3D Supervision Approach for Next View Selection
Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri
We present a classification based approach for the next best view selection and show how we can plausibly obtain a supervisory signal for this task. The proposed approach is end-to…
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
Sayan Banerjee, S Divakar Bhat, Subhasis Chaudhuri +1
In this paper, we propose a novel framework for multi-image co-segmentation using class agnostic meta-learning strategy by generalizing to new classes given only a small number of…
GuCNet: A Guided Clustering-based Network for Improved Classification
Ushasi Chaudhuri, Syomantak Chaudhuri, Subhasis Chaudhuri
We deal with the problem of semantic classification of challenging and highly-cluttered dataset. We present a novel, and yet a very simple classification technique by leveraging th…
Scalable Rendering of Variable Density Point Cloud Data
Priyadarshini Kumari, Sreeni K. G, Subhasis Chaudhuri
In this paper, we present a novel proxy-based method of the adaptive haptic rendering of a variable density 3D point cloud data at different levels of detail without pre-computing…
Haptic Rendering of Cultural Heritage Objects at Different Scales
Sreeni K. G, Priyadarshini K, Praseedha A. K +1
In this work, we address the issue of a virtual representation of objects of cultural heritage for haptic interaction. Our main focus is to provide haptic access to artistic object…
Combined Hapto-Visual and Auditory Rendering of Cultural Heritage Objects
Praseedha Krishnan Aniyath, Sreeni Kamalalayam Gopalan, Priyadarshini K +1
In this work, we develop a multi-modal rendering framework comprising of hapto-visual and auditory data. The prime focus is to haptically render point cloud data representing virtu…
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu +1
We deal with the problem of generating textual captions from optical remote sensing (RS) images using the notion of deep reinforcement learning. Due to the high inter-class similar…
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique
Priyadarshini K, Subhasis Chaudhuri
Discriminative features are crucial for several learning applications, such as object detection and classification. Neural networks are extensively used for extracting discriminati…
NENET: An Edge Learnable Network for Link Prediction in Scene Text
Mayank Kumar Singh, Sayan Banerjee, Shubhasis Chaudhuri
Text detection in scenes based on deep neural networks have shown promising results. Instead of using word bounding box regression, recent state-of-the-art methods have started foc…
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning
Omkar Gune, Mainak Pal, Preeti Mukherjee +2
Zero-shot Learning (ZSL) is a transfer learning technique which aims at transferring knowledge from seen classes to unseen classes. This knowledge transfer is possible because of u…
Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness
Priyadarshini Kumari, Subhasis Chaudhuri
In the real world, we often come across soft objects having spatially varying stiffness, such as human palm or a wart on the skin. In this paper, we propose a novel approach to ren…
DeFraudNet:End2End Fingerprint Spoof Detection using Patch Level Attention
B. V. S Anusha, Sayan Banerjee, Subhasis Chaudhuri
In recent years, fingerprint recognition systems have made remarkable advancements in the field of biometric security as it plays an important role in personal, national and global…