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20212025
most citedA review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

44 citations · 79 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Illusions in Humans and AI: How Visual Perception Aligns and Diverges

Jianyi Yang, Junyi Ye, Ankan Dash +1

By comparing biological and artificial perception through the lens of illusions, we highlight critical differences in how each system constructs visual reality. Understanding these…

cs.CV2025

Eye-See-You: Reverse Pass-Through VR and Head Avatars

Ankan Dash, Jingyi Gu, Guiling Wang +1

Virtual Reality (VR) headsets, while integral to the evolving digital ecosystem, present a critical challenge: the occlusion of users' eyes and portions of their faces, which hinde…

cs.CV2024

Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding

Junyi Ye, Ankan Dash, Wenpeng Yin +1

Flowcharts are typically presented as images, driving the trend of using vision-language models (VLMs) for end-to-end flowchart understanding. However, two key challenges arise: (i…

cs.CV2024★ 2 cited

HI-GAN: Hierarchical Inpainting GAN with Auxiliary Inputs for Combined RGB and Depth Inpainting

Ankan Dash, Jingyi Gu, Guiling Wang

Inpainting involves filling in missing pixels or areas in an image, a crucial technique employed in Mixed Reality environments for various applications, particularly in Diminished…

cs.CV2021★ 1 cited

High Resolution Solar Image Generation using Generative Adversarial Networks

Ankan Dash, Junyi Ye, Guiling Wang

We applied Deep Learning algorithm known as Generative Adversarial Networks (GANs) to perform solar image-to-image translation. That is, from Solar Dynamics Observatory (SDO)/Helio…