1 citations · 2 across the 7 of their papers we have counts for
7 papers
Open-Set Object Detection By Aligning Known Class Representations
Hiran Sarkar, Vishal Chudasama, Naoyuki Onoe +2
Open-Set Object Detection (OSOD) has emerged as a contemporary research direction to address the detection of unknown objects. Recently, few works have achieved remarkable performa…
Fiducial Focus Augmentation for Facial Landmark Detection
Purbayan Kar, Vishal Chudasama, Naoyuki Onoe +2
Deep learning methods have led to significant improvements in the performance on the facial landmark detection (FLD) task. However, detecting landmarks in challenging settings, suc…
Estimation of individual causal effects in network setup for multiple treatments
Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar +1
We study the problem of estimation of Individual Treatment Effects (ITE) in the context of multiple treatments and networked observational data. Leveraging the network information,…
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection
Purbayan Kar, Vishal Chudasama, Naoyuki Onoe +1
Semi-supervised object detection (SSOD) has made significant progress with the development of pseudo-label-based end-to-end methods. However, many of these methods face challenges…
Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network & Virtual Domain Pairing
Nirmesh Shah, Mayank Kumar Singh, Naoya Takahashi +1
Primary goal of an emotional voice conversion (EVC) system is to convert the emotion of a given speech signal from one style to another style without modifying the linguistic conte…
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation
Vishal Chudasama, Purbayan Kar, Ashish Gudmalwar +3
Emotion Recognition in Conversations (ERC) is crucial in developing sympathetic human-machine interaction. In conversational videos, emotion can be present in multiple modalities,…
A Unified Model for Fingerprint Authentication and Presentation Attack Detection
Additya Popli, Saraansh Tandon, Joshua J. Engelsma +3
Typical fingerprint recognition systems are comprised of a spoof detection module and a subsequent recognition module, running one after the other. In this paper, we reformulate th…