93 citations · 112 across the 21 of their papers we have counts for
23 papers
Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo +2
Robust semantic segmentation of road scenes under adverse illumination, lighting, and shadow conditions remain a core challenge for autonomous driving applications. RGB-Thermal fus…
RAPiD: Reward-Guided Consistency Distillation of Diffusion Planners for Real-Time Autonomous Driving
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo +2
Diffusion-based trajectory planners can model multi-modal driving behavior, but their iterative denoising process introduces a latency bottleneck for real-time closed-loop deployme…
DexAvatar: 3D Sign Language Reconstruction with Hand and Body Pose Priors
Kaustubh Kundu, Hrishav Bakul Barua, Lucy Robertson-Bell +2
The trend in sign language generation is centered around data-driven generative methods that require vast amounts of precise 2D and 3D human pose data to achieve an acceptable gene…
PhysHDR: When Lighting Meets Materials and Scene Geometry in HDR Reconstruction
Hrishav Bakul Barua, Kalin Stefanov, Ganesh Krishnasamy +2
Low Dynamic Range (LDR) to High Dynamic Range (HDR) image translation is a fundamental task in many computational vision problems. Numerous data-driven methods have been proposed t…
Seeing in the Dark: A Teacher-Student Framework for Dark Video Action Recognition via Knowledge Distillation and Contrastive Learning
Sharana Dharshikgan Suresh Dass, Hrishav Bakul Barua, Ganesh Krishnasamy +2
Action recognition in dark or low-light (under-exposed) videos is a challenging task due to visibility degradation, which can hinder critical spatiotemporal details. This paper pro…
A Cycle Ride to HDR: Semantics Aware Self-Supervised Framework for Unpaired LDR-to-HDR Image Reconstruction
Hrishav Bakul Barua, Kalin Stefanov, Lemuel Lai En Che +3
Reconstruction of High Dynamic Range (HDR) from Low Dynamic Range (LDR) images is an important computer vision task. There is a significant amount of research utilizing both conven…
Demystifying Object-based Big Data Storage Systems
Anindita Sarkar Mondal, Madhupa Sanyal, Ari Kusumastuti +2
Today's era is the digitized era. Managing such generated big data is an important factor for data scientists. Day by day, it increases the demand for big data storage systems. Dif…
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
Sharana Dharshikgan Suresh Dass, Hrishav Bakul Barua, Ganesh Krishnasamy +2
Human action or activity recognition in videos is a fundamental task in computer vision with applications in surveillance and monitoring, self-driving cars, sports analytics, human…
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
Hrishav Bakul Barua, Kalin Stefanov, KokSheik Wong +2
High Dynamic Range (HDR) content (i.e., images and videos) has a broad range of applications. However, capturing HDR content from real-world scenes is expensive and time-consuming.…
HistoHDR-Net: Histogram Equalization for Single LDR to HDR Image Translation
Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong +2
High Dynamic Range (HDR) imaging aims to replicate the high visual quality and clarity of real-world scenes. Due to the high costs associated with HDR imaging, the literature offer…
Enhanced Spatio-Temporal Context for Temporally Consistent Robust 3D Human Motion Recovery from Monocular Videos
Sushovan Chanda, Amogh Tiwari, Lokender Tiwari +3
Recovering temporally consistent 3D human body pose, shape and motion from a monocular video is a challenging task due to (self-)occlusions, poor lighting conditions, complex artic…
ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creation
Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong +2
High Dynamic Range (HDR) content creation has become an important topic for modern media and entertainment sectors, gaming and Augmented/Virtual Reality industries. Many methods ha…
Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India
Debojyoti Chakraborty, Jayeeta Mondal, Hrishav Bakul Barua +1
The challenges in applications of solar energy lies in its intermittency and dependency on meteorological parameters such as; solar radiation, ambient temperature, rainfall, wind-s…
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic
Jayeeta Mondal, Jeet Dutta, Hrishav Bakul Barua
Vaccinations against viruses have always been the need of the hour since long past. However, it is hard to efficiently distribute the vaccines (on time) to all the corners of a cou…
A Perspective on Robotic Telepresence and Teleoperation using Cognition: Are we there yet?
Hrishav Bakul Barua, Ashis Sau, Ruddra dev Roychoudhury
Telepresence and teleoperation robotics have attracted a great amount of attention in the last 10 years. With the Artificial Intelligence (AI) revolution already being started, we…
Data science and Machine learning in the Clouds: A Perspective for the Future
Hrishav Bakul Barua
As we are fast approaching the beginning of a paradigm shift in the field of science, Data driven science (the so called fourth science paradigm) is going to be the driving force i…
Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions
Hrishav Bakul Barua, Theint Haythi Mg, Pradip Pramanick +1
Robots in our daily surroundings are increasing day by day. Their usability and acceptability largely depend on their explicit and implicit interaction capability with fellow human…
Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud
Hrishav Bakul Barua, Kartick Chandra Mondal
Big data is gaining overwhelming attention since the last decade. Almost all the fields of science and technology have experienced a considerable impact from it. The cloud computin…
Approximate Computing for Robotic path planning -- Experimentation, Case Study and Practical Implications
Hrishav Bakul Barua
Approximate computing is a computation domain which can be used to trade time and energy with quality and therefore is useful in embedded systems. Energy is the prime resource in b…
DeComplex: Task planning from complex natural instructions by a collocating robot
Pradip Pramanick, Hrishav Bakul Barua, Chayan Sarkar
As the number of robots in our daily surroundings like home, office, restaurants, factory floors, etc. are increasing rapidly, the development of natural human-robot interaction me…
Let me join you! Real-time F-formation recognition by a socially aware robot
Hrishav Bakul Barua, Pradip Pramanick, Chayan Sarkar +1
This paper presents a novel architecture to detect social groups in real-time from a continuous image stream of an ego-vision camera. F-formation defines social orientations in spa…
Demo: Edge-centric Telepresence Avatar Robot for Geographically Distributed Environment
Ashis Sau, Ruddra Dev Roychoudhury, Hrishav Bakul Barua +5
Using a robotic platform for telepresence applications has gained paramount importance in this decade. Scenarios such as remote meetings, group discussions, and presentations/talks…
I can attend a meeting too! Towards a human-like telepresence avatar robot to attend meeting on your behalf
Hrishav Bakul Barua, Chayan Sarkar, Achanna Anil Kumar +2
Telepresence robots are used in various forms in various use-cases that helps to avoid physical human presence at the scene of action. In this work, we focus on a telepresence robo…