Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. - Guocheng Qian; Jinjin Gu; Jimmy S. Ren; Chao Dong 005; Furong Zhao; Juan Lin (CoRR, 2019)

SGAS: Sequential Greedy Architecture Search. - Guohao Li 001; Guocheng Qian; Itzel C. Delgadillo; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (CVPR, 2020)

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks. - Guocheng Qian; Abdulellah Abualshour; Guohao Li 001; Ali K. Thabet; Bernard Ghanem (CVPR, 2021)

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. - Guocheng Qian; Hasan Hammoud; Guohao Li 001; Ali K. Thabet; Bernard Ghanem (NeurIPS, 2021)

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. - Guocheng Qian; Xuanyang Zhang; Guohao Li 001; Chen Zhao 002; Yukang Chen; Xiangyu Zhang 005; Bernard Ghanem; Jian Sun 001 (CVPR Workshops, 2022)

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. - Guocheng Qian; Yuanhao Wang 003; Jinjin Gu; Chao Dong 005; Wolfgang Heidrich; Bernard Ghanem; Jimmy S. Ren (ICCP, 2022)

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. - Guocheng Qian; Yuchen Li 010; Houwen Peng; Jinjie Mai; Hasan Hammoud; Mohamed Elhoseiny; Bernard Ghanem (NeurIPS, 2022)

Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding. - Guocheng Qian; Xingdi Zhang; Abdullah Hamdi; Bernard Ghanem (CoRR, 2022)

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. - Jun Chen 021; Deyao Zhu; Guocheng Qian; Bernard Ghanem; Zhicheng Yan 001; Chenchen Zhu; Fanyi Xiao; Sean Chang Culatana; Mohamed Elhoseiny (ICCV, 2023)

Exploring Open-Vocabulary Semantic Segmentation without Human Labels. - Jun Chen 021; Deyao Zhu; Guocheng Qian; Bernard Ghanem; Zhicheng Yan 001; Chenchen Zhu; Fanyi Xiao; Mohamed Elhoseiny; Sean Chang Culatana (CoRR, 2023)

DeepGCNs: Making GCNs Go as Deep as CNNs. - Guohao Li 001; Matthias Müller 011; Guocheng Qian; Itzel C. Delgadillo; Abdulellah Abualshour; Ali K. Thabet; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions. - Guohao Li 001; Chenxin Xiong; Guocheng Qian; Ali K. Thabet; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding. - Guocheng Qian; Abdullah Hamdi; Xingdi Zhang; Bernard Ghanem (3DV, 2024)

Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. - Chen Zhao 002; Shuming Liu 001; Karttikeya Mangalam; Guocheng Qian; Fatimah Zohra; Abdulmohsen Alghannam; Jitendra Malik; Bernard Ghanem (CVPR, 2024)

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering. - Abdullah Hamdi; Luke Melas-Kyriazi; Jinjie Mai; Guocheng Qian; Ruoshi Liu; Carl Vondrick; Bernard Ghanem; Andrea Vedaldi (CVPR, 2024)

SPAD: Spatially Aware Multi-View Diffusers. - Yash Kant; Aliaksandr Siarohin; Ziyi Wu; Michael Vasilkovsky; Guocheng Qian; Jian Ren 005; Riza Alp Güler; Bernard Ghanem; Sergey Tulyakov; Igor Gilitschenski (CVPR, 2024)

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks. - Jinjie Mai; Wenxuan Zhu; Sara Rojas 001; Jesus Zarzar; Abdullah Hamdi; Guocheng Qian; Bing Li 024; Silvio Giancola; Bernard Ghanem (ECCV (12), 2024)

FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation. - Tianyu Zhang; Guocheng Qian; Jin Xie 001; Jian Yang 003 (ECCV (74), 2024)

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors. - Guocheng Qian; Jinjie Mai; Abdullah Hamdi; Jian Ren 005; Aliaksandr Siarohin; Bing Li 024; Hsin-Ying Lee 001; Ivan Skorokhodov; Peter Wonka; Sergey Tulyakov; Bernard Ghanem (ICLR, 2024)

Diffusion Priors for Dynamic View Synthesis from Monocular Videos. - Chaoyang Wang 001; Peiye Zhuang; Aliaksandr Siarohin; Junli Cao; Guocheng Qian; Hsin-Ying Lee 001; Sergey Tulyakov (CoRR, 2024)

AToM: Amortized Text-to-Mesh using 2D Diffusion. - Guocheng Qian; Junli Cao; Aliaksandr Siarohin; Yash Kant; Chaoyang Wang 001; Michael Vasilkovsky; Hsin-Ying Lee 001; Yuwei Fang; Ivan Skorokhodov; Peiye Zhuang; Igor Gilitschenski; Jian Ren 005; et al. (CoRR, 2024)

SPAD : Spatially Aware Multiview Diffusers. - Yash Kant; Ziyi Wu; Michael Vasilkovsky; Guocheng Qian; Jian Ren 005; Riza Alp Güler; Bernard Ghanem; Sergey Tulyakov; Igor Gilitschenski; Aliaksandr Siarohin (CoRR, 2024)

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers. - Sherwin Bahmani; Ivan Skorokhodov; Guocheng Qian; Aliaksandr Siarohin; Willi Menapace; Andrea Tagliasacchi; David B. Lindell; Sergey Tulyakov (CVPR, 2025)

Wonderland: Navigating 3D Scenes from a Single Image. - Hanwen Liang; Junli Cao; Vidit Goel; Guocheng Qian; Sergei Korolev; Demetri Terzopoulos; Konstantinos N. Plataniotis; Sergey Tulyakov; Jian Ren 005 (CVPR, 2025)

Omni-ID: Holistic Identity Representation Designed for Generative Tasks. - Guocheng Qian; Kuan-Chieh Wang; Or Patashnik; Negin Heravi; Daniil Ostashev; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman (CVPR, 2025)

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control. - Sherwin Bahmani; Ivan Skorokhodov; Aliaksandr Siarohin; Willi Menapace; Guocheng Qian; Michael Vasilkovsky; Hsin-Ying Lee 001; Chaoyang Wang 001; Jiaxu Zou; Andrea Tagliasacchi; David B. Lindell; Sergey Tulyakov (ICLR, 2025)

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models. - Zhenxing Mi; Kuan-Chieh Wang; Guocheng Qian; Hanrong Ye; Runtao Liu; Sergey Tulyakov; Kfir Aberman; Dan Xu 002 (CoRR, 2025)

DELTAv2: Accelerating Dense 3D Tracking. - Tuan Duc Ngo; Ashkan Mirzaei; Guocheng Qian; Hanwen Liang; Chuang Gan 001; Evangelos Kalogerakis; Peter Wonka; Chaoyang Wang 001 (CoRR, 2025)