Deepak K. Gupta

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Topics

Semantic Segmentation

Top Venues

Publications

Arnav Chavan, Nahush Lele, Deepak K. Gupta
Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL (1) (2024)
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. WACV (2024)
Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad
Latent Graph Attention for Enhanced Spatial Context. CoRR (2023)
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP (2023)
Arnav Chavan, Nahush Lele, Deepak K. Gupta
Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models. CoRR (2023)
Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta
On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. CoRR (2023)
Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta
Implicitly Rotation Equivariant Neural Networks. ICASSP (2023)
Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR (2023)
Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. Trans. Mach. Learn. Res. 2023 (2023)
Animesh Gupta, Irtiza Hassan, Dilip K. Prasad, Deepak K. Gupta
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. CoRR (2023)
Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. CoRR (2023)
Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad
Patch Gradient Descent: Training Neural Networks on Very Large Images. CoRR (2023)
Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR (2022)
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR (2022)
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CoRR (2022)
Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta
MixBin: Towards Budgeted Binarization. CoRR (2022)
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CVPR (2022)
Deepak K. Gupta, Massimo Marano, Raj Aurora, James Boyd, Satya S. Sahoo
Parkinson and movement disorders ontology for clinically-oriented and clinicians-driven data mining of multi-center cohorts in Parkinson's disease. AMIA (2021)
Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
Rescaling CNN through Learnable Repetition of Network Parameters. CoRR (2021)
Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. CoRR (2021)
Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. ICIP (2021)
Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
Rescaling CNN Through Learnable Repetition of Network Parameters. ICIP (2021)
Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya
Livestock Monitoring with Transformer. CoRR (2021)
Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya
Livestock Monitoring with Transformer. BMVC (2021)
Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. ICLR (2021)
Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. CoRR (2021)
Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta
Implicit Equivariance in Convolutional Networks. CoRR (2021)
Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. ICCV (2021)
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
Rotation Equivariant Siamese Networks for Tracking. CVPR (2021)
Max N. Bos, Rutger R. van de Leur, Jeroen F. Vranken, Deepak K. Gupta, Pim van der Harst, Pieter A. F. M. Doevendans, René van Es
Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks. CinC (2020)
Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. CoRR (2020)
Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta
Hard Occlusions in Visual Object Tracking. CoRR (2020)
Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves
Siamese Tracking of Cell Behaviour Patterns. MIDL (2020)
Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders
Model Decay in Long-Term Tracking. ICPR (2020)
Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders
Tackling Occlusion in Siamese Tracking with Structured Dropouts. CoRR (2020)
Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren
Calibrated Adversarial Refinement for Multimodal Semantic Segmentation. CoRR (2020)
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
Rotation Equivariant Siamese Networks for Tracking. CoRR (2020)
Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. CoRR (2020)
Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL (2020)
Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders
Tackling Occlusion in Siamese Tracking with Structured Dropouts. ICPR (2020)
Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta
Hard Occlusions in Visual Object Tracking. ECCV Workshops (5) (2020)
Marco K. Swierstra, Deepak K. Gupta, Matthijs Langelaar
Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results. CoRR (2020)
Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves
Tracking-Assisted Segmentation of Biological Cells. CoRR (2019)
Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders
Model Decay in Long-Term Tracking. CoRR (2019)
Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard
Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach. CoRR (2019)
Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. CoRR (2018)
Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar
Design and analysis adaptivity in multi-resolution topology optimization. CoRR (2018)
Hitesh Golchha, Deepak K. Gupta, Asif Ekbal, Pushpak Bhattacharyya
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. ICON (2018)
Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar
Velocity-Porosity Supermodel: A Deep Neural Networks based concept. CoRR (2018)
Satya Sanket Sahoo, Samden D. Lhatoo, Deepak K. Gupta, Licong Cui, Meng Zhao, Catherine P. Jayapandian, Alireza Bozorgi, Guo-Qiang Zhang
Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. J. Am. Medical Informatics Assoc. 21 (1) (2014)
Deepak K. Gupta, Yogesh Arora, Upendra K. Singh, Jai P. Gupta
Recursive Ant Colony Optimization for estimation of parameters of a function. RAIT (2012)
Satya Sanket Sahoo, Meng Zhao, Lingyun Luo, Alireza Bozorgi, Deepak K. Gupta, Samden D. Lhatoo, Guo-Qiang Zhang
OPIC: Ontology-driven Patient Information Capturing System for Epilepsy. AMIA (2012)