Dash, Ankan
- Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
2024/12/21 by Junyi Ye, Ye, Junyi, Ankan Dash +5 · 5 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Text Analysis Techniques
- HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting
2024/02/15 by Ankan Dash, Dash, Ankan, Jingyi Gu +3 · 2 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)
- Self-Supervised Learning for User Localization
2024/04/19 by Ankan Dash, Jingyi Gu, Dash, Ankan +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Face and Expression Recognition #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #electronic engineering #information engineering
- A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing
2021/10/01 by Ankan Dash, Junyi Ye, Dash, Ankan +3 · 1 citation
Computer Science · #Advanced Image Processing Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Illusions in Humans and AI: How Visual Perception Aligns and Diverges
2025/08/17 by Jianyi Yang, Yang, Jianyi, Jianbo Ye +5 · 1 citation
Computer Science · Earth and Planetary Sciences · Neuroscience · #3D Surveying and Cultural Heritage #Aesthetic Perception and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Visual Attention and Saliency Detection