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Manish Kumar Singh 0002

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affiliation: Qualcomm AI Research
affiliation (former): University of California San Diego, CA, USA

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Conference and Workshop Papers

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2022
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  - conf/pcs/SaidSP22
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Amir Said, Manish Kumar Singh, Reza Pourreza:
Differentiable bit-rate estimation for neural-based video codec enhancement. PCS 2022: 379-383
2021
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  - conf/aistats/WangZSRC21
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Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri:
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation. AISTATS 2021: 1531-1539

Informal and Other Publications

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2024
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  - journals/corr/abs-2403-12202
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Yunxiao Shi, Manish Kumar Singh, Hong Cai, Fatih Porikli:
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions. CoRR abs/2403.12202 (2024)
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  - journals/corr/abs-2403-12953
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Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli:
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. CoRR abs/2403.12953 (2024)
2023
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  - journals/corr/abs-2301-09776
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Amir Said, Manish Kumar Singh, Reza Pourreza:
Differentiable bit-rate estimation for neural-based video codec enhancement. CoRR abs/2301.09776 (2023)
2020
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  - journals/corr/abs-2010-15390
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Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri:
Multitask Bandit Learning through Heterogeneous Feedback Aggregation. CoRR abs/2010.15390 (2020)

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