2 citations · 8 across the 12 of their papers we have counts for
25 papers
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…
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…