Aarush Gupta - RankMe

18 papers A* 2A 1B 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	KANELÉ: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation. FPGA Duc Hoang, Aarush Gupta, Philip C. Harris
2026	J	`jnl`	SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices. CoRR Dongting Hu, Aarush Gupta, Magzhan Gabidolla, Arpit Sahni, Huseyin Coskun, Yanyu Li, Yerlan Idelbayev, Ahsan Mahmood, Aleksei Lebedev, Dishani Lahiri, Anujraaj Goyal, Ju Hu, Mingming Gong, Sergey Tulyakov, Anil Kag
2026	J	`jnl`	Ultrafast On-chip Online Learning via Spline Locality in Kolmogorov-Arnold Networks. CoRR Duc Hoang, Aarush Gupta, Philip C. Harris
2025	J	`jnl`	Applications and Manipulations of Physics-Informed Neural Networks in Solving Differential Equations. CoRR Aarush Gupta, Kendric Hsu, Syna Mathod
2025	J	`jnl`	KANELÉ: Kolmogorov-Arnold Networks for Efficient LUT-based Evaluation. CoRR Duc Hoang, Aarush Gupta, Philip C. Harris
2025	J	`jnl`	Languages are Modalities: Cross-Lingual Alignment via Encoder Injection. CoRR Rajan Agarwal, Aarush Gupta
2025	J	`jnl`	Preventing Shortcuts in Adapter Training via Providing the Shortcuts. CoRR Anujraaj Goyal, Guocheng Gordon Qian, Huseyin Coskun, Aarush Gupta, Himmy Tam, Daniil Ostashev, Ju Hu, Dhritiman Sagar, Sergey Tulyakov, Kfir Aberman, Kuan-Chieh Jackson Wang
2025	A*	`conf`	SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CVPR Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2024	J	`jnl`	SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CoRR Dongting Hu, Jierun Chen, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2023	A*	`conf`	LightSpeed: Light and Fast Neural Light Fields on Mobile Devices. NeurIPS Aarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, László A. Jeni
2023	J	`jnl`	LightSpeed: Light and Fast Neural Light Fields on Mobile Devices. CoRR Aarush Gupta, Junli Cao, Chaoyang Wang, Ju Hu, Sergey Tulyakov, Jian Ren, László A. Jeni
2023	—	`conf`	Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. MICCAI (3) Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister
2023	J	`jnl`	Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. CoRR Zudi Lin, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, Hanspeter Pfister
2023	—	`conf`	VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, Youngdon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou
2021	J	`jnl`	Parametric Variational Linear Units (PVLUs) in Deep Convolutional Networks. CoRR Aarush Gupta, Shikhar Ahuja
2020	—	`conf`	MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. MICCAI (5) Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister
2018	B	`conf`	An Attention Model for Group-Level Emotion Recognition. ICMI Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli
2018	J	`jnl`	An Attention Model for group-level emotion recognition. CoRR Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli