25 citations · 66 across the 30 of their papers we have counts for
33 papers
Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
S Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri +1
We tackle the problem of class incremental learning (CIL) in the realm of landcover classification from optical remote sensing (RS) images in this paper. The paradigm of CIL has re…
Physically Plausible 3D Human-Scene Reconstruction from Monocular RGB Image using an Adversarial Learning Approach
Sandika Biswas, Kejie Li, Biplab Banerjee +2
Holistic 3D human-scene reconstruction is a crucial and emerging research area in robot perception. A key challenge in holistic 3D human-scene reconstruction is to generate a physi…
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
Shirsha Bose, Ritesh Sur Chowdhury, Debabrata Pal +3
Efficient road and building footprint extraction from satellite images are predominant in many remote sensing applications. However, precise segmentation map extraction is quite ch…
Prototypical quadruplet for few-shot class incremental learning
Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri
Scarcity of data and incremental learning of new tasks pose two major bottlenecks for many modern computer vision algorithms. The phenomenon of catastrophic forgetting, i.e., the m…
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan +3
We tackle the novel problem of incremental unsupervised domain adaptation (IDA) in this paper. We assume that a labeled source domain and different unlabeled target domains are inc…
Deep Learning based Novel View Synthesis
Amit More, Subhasis Chaudhuri
Predicting novel views of a scene from real-world images has always been a challenging task. In this work, we propose a deep convolutional neural network (CNN) which learns to pred…
Remeshing-Free Graph-Based Finite Element Method for Ductile and Brittle Fracture
Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri
Fracture produces new mesh fragments that introduce additional degrees of freedom in the system dynamics. Existing finite element method (FEM) based solutions suffer from an explos…
A Unified Batch Selection Policy for Active Metric Learning
Priyadarshini K, Siddhartha Chaudhuri, Vivek Borkar +1
Active metric learning is the problem of incrementally selecting high-utility batches of training data (typically, ordered triplets) to annotate, in order to progressively improve…
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…
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification
T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan +1
Person re-identification addresses the problem of matching pedestrian images across disjoint camera views. Design of feature descriptor and distance metric learning are the two fun…
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification
T M Feroz Ali, Subhasis Chaudhuri
In video surveillance, person re-identification is the task of searching person images in non-overlapping cameras. Though supervised methods for person re-identification have attai…
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
T M Feroz Ali, Subhasis Chaudhuri
Person re-identification is the task of matching pedestrian images across non-overlapping cameras. In this paper, we propose a non-linear cross-view similarity metric learning for…
On the Separability of Classes with the Cross-Entropy Loss Function
Rudrajit Das, Subhasis Chaudhuri
In this paper, we focus on the separability of classes with the cross-entropy loss function for classification problems by theoretically analyzing the intra-class distance and inte…