1 code implementation • 20 May 2024 • Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci
We also collected CT scans of 1, 350 patients from publicly available sources for benchmarking purposes.
no code implementations • 6 Aug 2023 • Onkar Susladkar, Prajwal Gatti, Anand Mishra
In this work, we study the task of ``visually" translating scene text from a source language (e. g., English) to a target language (e. g., Chinese).
no code implementations • 26 Jun 2023 • Prashant Kumar, Dhruv Makwana, Onkar Susladkar, Anurag Mittal, Prem Kumar Kalra
In the real world however, LiDAR scans consist of non-stationary dynamic structures - moving and movable objects.
no code implementations • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 • Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R Sai Chandra Teja, Rekha Singhal
We introduce a novel network, GAFNet (Global Attention Fourier Net), which learns through large-scale pre-training over three image-text datasets (COCO, SBU, and CC-3M), for achieving high performance on downstream vision and language tasks.
1 code implementation • 26 Oct 2022 • Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, Sai Chandra Teja R, Rekha Singhal
Further, we use a novel multi-headed decoder that generates a high-pass filtered image and a segmentation map, in addition to a text-free image.
2 code implementations • 13 Jul 2022 • Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, Sai Chandra Teja R, Sparsh Mittal, C Krishna Mohan
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images.
Ranked #1 on Semantic Segmentation on SWINySEG