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Guocheng Qian
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2020 – today
- 2024
- [c14]Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem:
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding. 3DV 2024: 1280-1290 - [c13]Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski:
SPAD: Spatially Aware Multi-View Diffusers. CVPR 2024: 10026-10038 - [c12]Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem:
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. CVPR 2024: 15835-15844 - [c11]Abdullah Hamdi, Luke Melas-Kyriazi, Jinjie Mai, Guocheng Qian, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CVPR 2024: 19812-19822 - [c10]Tianyu Zhang, Guocheng Qian, Jin Xie, Jian Yang:
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation. ECCV (74) 2024: 251-267 - [c9]Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem:
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks. ECCV (12) 2024: 470-489 - [c8]Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem:
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors. ICLR 2024 - [i18]Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem:
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. CoRR abs/2401.04105 (2024) - [i17]Chaoyang Wang, Peiye Zhuang, Aliaksandr Siarohin, Junli Cao, Guocheng Qian, Hsin-Ying Lee, Sergey Tulyakov:
Diffusion Priors for Dynamic View Synthesis from Monocular Videos. CoRR abs/2401.05583 (2024) - [i16]Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov:
AToM: Amortized Text-to-Mesh using 2D Diffusion. CoRR abs/2402.00867 (2024) - [i15]Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Güler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, Aliaksandr Siarohin:
SPAD : Spatially Aware Multiview Diffusers. CoRR abs/2402.05235 (2024) - [i14]Abdullah Hamdi, Luke Melas-Kyriazi, Guocheng Qian, Jinjie Mai, Ruoshi Liu, Carl Vondrick, Bernard Ghanem, Andrea Vedaldi:
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. CoRR abs/2402.10128 (2024) - [i13]Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov:
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control. CoRR abs/2407.12781 (2024) - [i12]Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem:
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks. CoRR abs/2408.10739 (2024) - [i11]Tianyu Zhang, Guocheng Qian, Jin Xie, Jian Yang:
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation. CoRR abs/2410.19573 (2024) - 2023
- [j2]Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Making GCNs Go as Deep as CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6923-6939 (2023) - [j1]Guohao Li, Chenxin Xiong, Guocheng Qian, Ali K. Thabet, Bernard Ghanem:
DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13024-13034 (2023) - [c7]Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny:
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. ICCV 2023: 699-710 - [i10]Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana:
Exploring Open-Vocabulary Semantic Segmentation without Human Labels. CoRR abs/2306.00450 (2023) - [i9]Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem:
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors. CoRR abs/2306.17843 (2023) - 2022
- [c6]Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun:
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. CVPR Workshops 2022: 2781-2786 - [c5]Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren:
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. ICCP 2022: 1-12 - [c4]Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem:
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. NeurIPS 2022 - [i8]Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun:
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. CoRR abs/2204.04918 (2022) - [i7]Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem:
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. CoRR abs/2206.04670 (2022) - [i6]Guocheng Qian, Xingdi Zhang, Abdullah Hamdi, Bernard Ghanem:
Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding. CoRR abs/2208.12259 (2022) - 2021
- [c3]Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem:
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks. CVPR 2021: 11683-11692 - [c2]Guocheng Qian, Hasan Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem:
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. NeurIPS 2021: 28119-28130 - [i5]Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem:
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. CoRR abs/2110.10538 (2021) - 2020
- [c1]Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. CVPR 2020: 1617-1627
2010 – 2019
- 2019
- [i4]Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin:
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. CoRR abs/1905.02538 (2019) - [i3]Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Making GCNs Go as Deep as CNNs. CoRR abs/1910.06849 (2019) - [i2]Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. CoRR abs/1912.00195 (2019) - [i1]Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem:
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. CoRR abs/1912.03264 (2019)
Coauthor Index
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last updated on 2024-12-11 20:45 CET by the dblp team
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