| One million scenes for autonomous driving: Once dataset J Mao, M Niu, C Jiang, H Liang, J Chen, X Liang, Y Li, C Ye, W Zhang, ... arXiv preprint arXiv:2106.11037, 2021 | 221 | 2021 |
| Exploring geometry-aware contrast and clustering harmonization for self-supervised 3d object detection H Liang, C Jiang, D Feng, X Chen, H Xu, X Liang, W Zhang, Z Li, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 62 | 2021 |
| M³vit: Mixture-of-experts vision transformer for efficient multi-task learning with model-accelerator co-design H Liang, Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, ... Advances in Neural Information Processing Systems 35, 28441-28457, 2022 | 43 | 2022 |
| Point cloud domain adaptation via masked local 3d structure prediction H Liang, H Fan, Z Fan, Y Wang, T Chen, Y Cheng, Z Wang European Conference on Computer Vision, 156-172, 2022 | 22 | 2022 |
| Enhancing nerf akin to enhancing llms: Generalizable nerf transformer with mixture-of-view-experts W Cong, H Liang, P Wang, Z Fan, T Chen, M Varma, Y Wang, Z Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Comp4d: Llm-guided compositional 4d scene generation D Xu, H Liang, NP Bhatt, H Hu, H Liang, KN Plataniotis, Z Wang arXiv preprint arXiv:2403.16993, 2024 | 9 | 2024 |
| Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front‐Facing Views H Liang, T Wu, P Hanji, F Banterle, H Gao, R Mantiuk, C Öztireli Computer Graphics Forum 43 (2), e15036, 2024 | 8 | 2024 |
| Self-calibrated multi-sensor wearable for hand tracking and modeling N Gosala, F Wang, Z Cui, H Liang, O Glauser, S Wu, O Sorkine-Hornung IEEE Transactions on Visualization and Computer Graphics 29 (3), 1769-1784, 2021 | 7 | 2021 |
| Edge-moe: Memory-efficient multi-task vision transformer architecture with task-level sparsity via mixture-of-experts R Sarkar, H Liang, Z Fan, Z Wang, C Hao 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | 5 | 2023 |
| Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models H Liang, Y Yin, D Xu, H Liang, Z Wang, KN Plataniotis, Y Zhao, Y Wei arXiv preprint arXiv:2405.16645, 2024 | 4 | 2024 |
| L4GM: Large 4D Gaussian Reconstruction Model J Ren, K Xie, A Mirzaei, H Liang, X Zeng, K Kreis, Z Liu, A Torralba, ... arXiv preprint arXiv:2406.10324, 2024 | 2 | 2024 |
| Surf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity T Wu, H Liang, F Zhong, G Riegler, S Vainer, C Oztireli arXiv preprint arXiv:2303.10083, 2023 | 1 | 2023 |
| Evolutive Rendering Models F Zhan, H Liang, Y Wang, M Niemeyer, M Oechsle, A Kortylewski, ... arXiv preprint arXiv:2405.17531, 2024 | | 2024 |
| NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods Q Qu, H Liang, X Chen, YY Chung, Y Shen IEEE Transactions on Visualization and Computer Graphics, 2024 | | 2024 |
| NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction W Cong, H Liang, Z Fan, P Wang, Y Jiang, D Xu, AC Oztireli, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Multi-view video datasets for evaluation of NeRF and Neural View Synthesis methods H Liang, T Wu, P Hanji, F Banterle, R Mantiuk, C Oztireli | | 2023 |
| Perceptual quality assessment of nerf and neural view synthesis methods for front-facing views H Liang, T Wu, P Hanji, F Banterle, H Gao, R Mantiuk, C Oztireli arXiv preprint arXiv:2303.15206, 2023 | | 2023 |
| Supplementary for” Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction” H Liang, H Fan, Z Fan, Y Wang, T Chen, Y Cheng, Z Wang | | |
| Supplementary Materials for M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design H Liang, Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, ... | | |
| Supplementary Material for Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts W Cong, H Liang, P Wang, Z Fan, T Chen, M Varma, Y Wang, Z Wang | | |
