If we knew what it was we were doing, it would not be called research, would it?
Brief Bio
I am currently a PhD candidate at Department of Computer Science in Stony Brook Univeristy. From fall 2018 I’m working in the Computer Vision Lab under the supervision of Prof. Dimitris Samaras.
Prior to this, I received my master degree from National Institute of Technology, Calicut, India in 2016 advised by Prof. Sudeep K S.
Research Interest: I work on research problems in Computer Vision and Machine Learning. I am especially interested in the field of using Unsupervised techniques for performing object detection and Fine Grained Classification.
Industry Experience: I have worked as Senior Software Developer in Cisco for 2 years and prior to that I have almost two years experience in Wipro Technologies as a Project Engineer.
Resume(2019.08)
Contact
- Email : phowlader[at]cs.stonybrook.edu
- Room 138, New Computer Science Building, Stony Brook University, Stony Brook, NY 11794-2424
Publications
- Prantik Howlader, Srijan Das, Hieu Le and Dimitris Samaras. “Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier”. In European Conference on Computer Vision (ECCV 2024) (Paper)
- Prantik Howlader, Hieu Le and Dimitris Samaras. “Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation”. In European Conference on Computer Vision (ECCV 2024) (Paper)
- Prantik Howlader, Vu Nguyen, Le Hou, Rajarshi Gupta, Dimitris Samaras and Joel Saltz. “Few Shot Hematopoietic Cell Classification”. In Medical Imaging with Deep Learning (MIDL 2023) (Paper)
- Ayush Kumar, Prantik Howlader, Rafael Garcia, Daniel Weiskopf and Klaus Mueller. “Challenges in Interpretability of Neural Networks for Eye Movement Data”. In ACM Symposium on Eye Tracking Research and Applications (ETRA 2020) (Paper)
- Prantik Howlader1, Aditya Chattopadhyay1, Anirban Sarkar1 and Vineeth N. Balasubramanian.“Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks,” IEEE Winter Conference on Applications of Computer Vision (WACV 2018) (Paper)
(1 All authors have contributed equally) - Prantik Howlader, Kuntal Kumar Pal, Alfredo Cuzzocrea, and S. D. Madhu Kumar. “Predicting Facebook-Users’ Personality based on Status and Linguistic Features via Flexible Regression Analysis Techniques,” In Proceedings of ACM SAC Conference (SAC 2018) (Paper)
- Prantik Howlader and K.S. Sudeep.“Degree Centrality, Eigen vector Centrality and relation between them in Twitter,” IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT 2016) (Paper)