Guocheng Qian

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 28

Top Topics

Neural Architecture

Spatially Aware

Semantic Segmentation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem
Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
Guocheng Qian, Abdullah Hamdi, Xingdi Zhang, Bernard Ghanem
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding. 3DV (2024)
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 (2024)
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 (2024)
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)
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) (2023)
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) (2023)
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 (2023)
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 (2023)
Jinjie Mai, Jun Chen, Bing Li, Guocheng Qian, Mohamed Elhoseiny, Bernard Ghanem
LLM as A Robotic Brain: Unifying Egocentric Memory and Control. CoRR (2023)
Guocheng Qian, Xingdi Zhang, Abdullah Hamdi, Bernard Ghanem
Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding. CoRR (2022)
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)
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 (2022)
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 (2022)
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)
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)
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)
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 (2021)
Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks. CVPR (2021)
Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
SGAS: Sequential Greedy Architecture Search. CVPR (2020)
Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. CoRR (2019)
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 (2019)
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 (2019)
Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem
SGAS: Sequential Greedy Architecture Search. CoRR (2019)