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Ho Man Kwan
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2020 – today
- 2024
- [c3]Ho Man Kwan, Fan Zhang, Andrew Gower, David Bull:
Immersive Video Compression Using Implicit Neural Representations. PCS 2024: 1-5 - [i7]Ho Man Kwan, Fan Zhang, Andrew Gower, David Bull:
Immersive Video Compression using Implicit Neural Representations. CoRR abs/2402.01596 (2024) - [i6]Ge Gao, Ho Man Kwan, Fan Zhang, David Bull:
PNVC: Towards Practical INR-based Video Compression. CoRR abs/2409.00953 (2024) - [i5]Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull:
NVRC: Neural Video Representation Compression. CoRR abs/2409.07414 (2024) - [i4]Ge Gao, Adrian Azzarelli, Ho Man Kwan, Nantheera Anantrasirichai, Fan Zhang, Oliver Moolan-Feroze, David Bull:
BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression. CoRR abs/2411.11199 (2024) - 2023
- [c2]Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull:
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation. NeurIPS 2023 - [i3]Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull:
HiNeRV: Video Compression with Hierarchical Encoding based Neural Representation. CoRR abs/2306.09818 (2023) - [i2]Ho Man Kwan, Shenghui Song:
FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning. CoRR abs/2312.17029 (2023) - 2022
- [c1]Ho Man Kwan, Shenghui Song:
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling. ECCV (21) 2022: 229-244 - [i1]Ho Man Kwan, Shenghui Song:
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling. CoRR abs/2207.11511 (2022)
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