Multitask Bandit Learning Through Heterogeneous Feedback Aggregation. - Zhi Wang 013; Chicheng Zhang; Manish Kumar Singh 002; Laurel D. Riek; Kamalika Chaudhuri (AISTATS, 2021)

Differentiable bit-rate estimation for neural-based video codec enhancement. - Amir Said; Manish Kumar Singh 002; Reza Pourreza 002 (PCS, 2022)

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions. - Yunxiao Shi; Manish Kumar Singh 002; Hong Cai; Fatih Porikli (CVPR, 2024)

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. - Rajeev Yasarla; Manish Kumar Singh 002; Hong Cai; Yunxiao Shi; Jisoo Jeong; Yinhao Zhu; Shizhong Han; Risheek Garrepalli; Fatih Porikli (ECCV (5), 2024)

ToSA: Token Selective Attention for Efficient Vision Transformers. - Manish Kumar Singh 002; Rajeev Yasarla; Hong Cai; Mingu Lee; Fatih Porikli (CoRR, 2024)

PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. - Pierre-David Letourneau; Manish Kumar Singh 002; Hsin-Pai Cheng; Shizhong Han; Yunxiao Shi; Dalton Jones; Matthew Harper Langston; Hong Cai; Fatih Porikli (ICLR, 2025)