An Attention Model for Group-Level Emotion Recognition. - Aarush Gupta; Dakshit Agrawal; Hardik Chauhan; Jose Dolz; Marco Pedersoli (ICMI, 2018)

MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images. - Donglai Wei 001; Zudi Lin; Daniel Franco-Barranco; Nils Wendt; Xingyu Liu; Wenjie Yin; Xin Huang; Aarush Gupta; Won-Dong Jang; Xueying Wang 002; Ignacio Arganda-Carreras; Jeff W. Lichtman; et al. (MICCAI (5), 2020)

Parametric Variational Linear Units (PVLUs) in Deep Convolutional Networks. - Aarush Gupta; Shikhar Ahuja (CoRR, 2021)

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. - 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 002; et al. (ICCV (Workshops), 2023)

Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform. - Zudi Lin; Donglai Wei 001; Aarush Gupta; Xingyu Liu; Deqing Sun; Hanspeter Pfister (MICCAI (3), 2023)

LightSpeed: Light and Fast Neural Light Fields on Mobile Devices. - Aarush Gupta; Junli Cao; Chaoyang Wang 001; Ju Hu; Sergey Tulyakov; Jian Ren 005; László A. Jeni (NeurIPS, 2023)

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. - Jierun Chen; Dongting Hu; Xijie Huang; Huseyin Coskun; Arpit Sahni; Aarush Gupta; Anujraaj Goyal; Dishani Lahiri; Rajesh Singh; Yerlan Idelbayev; Junli Cao; Yanyu Li; et al. (CVPR, 2025)

Applications and Manipulations of Physics-Informed Neural Networks in Solving Differential Equations. - Aarush Gupta; Kendric Hsu; Syna Mathod (CoRR, 2025)