Tanwi Mallick

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Speech Recognition

Top Venues

VISIGRAPP (4: VISAPP)

Publications

Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS (2024)
Yangxinyu Xie, Tanwi Mallick, Joshua David Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie Su
WildfireGPT: Tailored Large Language Model for Wildfire Analysis. CoRR (2024)
Tanwi Mallick, John Murphy, Joshua David Bergerson, Duane R. Verner, John K. Hutchison, Leslie-Anne Levy
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques. CoRR (2024)
Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick
Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey. CoRR (2024)
Qipeng Qian, Tanwi Mallick
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR (2024)
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J. Su, Camillo J. Taylor, Dan Roth
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. CoRR (2024)
Sanmukh Kuppannagari, Tanwi Mallick
IPDPS 2024 PhD Forum. IPDPS (Workshops) (2024)
Qipeng Qian, Tanwi Mallick
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting. ICASSP (2024)
Tanwi Mallick, Jane MacFarlane, Prasanna Balaprakash
Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Yangxinyu Xie, Tanwi Mallick
A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios. CoRR (2023)
Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash
Graph Pyramid Autoformer for Long- Term Traffic Forecasting. ICMLA (2023)
Tanwi Mallick, Joshua David Bergerson, Duane R. Verner, John K. Hutchison, Leslie-Anne Levy, Prasanna Balaprakash
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach. CoRR (2023)
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
dance performances using machine learning approaches. J. Vis. Commun. Image Represent. 87 (2022)
Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. CoRR (2022)
Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting. CoRR (2022)
Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane MacFarlane
A data-centric weak supervised learning for highway traffic incident detection. CoRR (2021)
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
Bharatanatyam Dance Transcription using Multimedia Ontology and Machine Learning. CoRR (2020)
Tanwi Mallick, Mariam Kiran, Bashir Mohammed, Prasanna Balaprakash
Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks. CoRR (2020)
Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. CoRR (2020)
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
Beat Detection and Automatic Annotation of the Music of Bharatanatyam Dance using Speech Recognition Techniques. CoRR (2020)
Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting. ICPR (2020)
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach. CoRR (2019)
Tanwi Mallick, Prasanna Balaprakash, Eric Rask, Jane MacFarlane
Graph-Partitioning-Based Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting. CoRR (2019)
Anindhya Sankhla, Vinanti Kalangutkar, Himadri B. G. S. Bhuyan, Tanwi Mallick, Vivek Nautiyal, Partha Pratim Das, Arun Kumar Majumdar
Automated Translation of Human Postures from Kinect Data to Labanotation. NCVPRIPG (2017)
Achyuta Aich, Tanwi Mallick, Himadri B. G. S. Bhuyan, Partha Pratim Das, Arun Kumar Majumdar
NrityaGuru: A Dance Tutoring System for Bharatanatyam Using Kinect. NCVPRIPG (2017)
Tanwi Mallick, Akash Anuj, Partha Pratim Das, Arun Kumar Majumdar
Using Musical Beats to Segment Videos of Bharatanatyam Adavus. CVIP (1) (2016)
Tanwi Mallick, Palash Goyal, Partha Pratim Das, Arun Kumar Majumdar
Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library. VISIGRAPP (4: VISAPP) (2016)
Tanwi Mallick, Ankit Khedia, Partha Pratim Das, Arun Kumar Majumdar
Fast Gait Recognition from Kinect Skeletons. VISIGRAPP (3: VISAPP) (2016)
Tanwi Mallick, Rishabh Agrawal, Partha Pratim Das, Arun Kumar Majumdar
Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors. VISAPP (3) (2015)
Akash Anuj, Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
Robust control of applications by hand-gestures. NCVPRIPG (2015)
Tanwi Mallick, Partha Pratim Das, Arun K. Majumdar
Study of Interference Noise in Multi-Kinect Set-up. VISAPP (1) (2014)
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
Estimation of the orientation and distance of a mirror from Kinect depth data. NCVPRIPG (2013)