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Bin Ren (任斌)

I am a third(last)-year Ph.D. student in the Italian National Artificial Intelligence Program co-organized by the University of Pisa, Italy, and the University of Trento, Italy. I am in the Multimedia and Human Understanding Group (MHUG) advised by Prof. Dr. Nicu Sebe and Prof. Dr. Rita Cucchiara. Previously, I was an academic visiting student at the Computer Vision Lab (CVL) of ETH Zürich, working closedly with Dr. Yawei Li under the supervision of Prof. Dr. Luc Van Gool. Currently, I am a visiting Ph.D. student at INSAIT, Sofia, working closely with Prof. Dr. Danda Pani Paudel and Prof. Dr. Luc Van Gool on LLMs.

My research interests lie in the intersection of computer vision, and deep learning. Recently I have worked on Low-Level Vision, and 3D Gaussian Splatting. In addition, I've also begun exploring multi-modal LLMs like Llama and LLaVA.

Prior to my Ph.D. studies, I received my master's degree (2021) under the supervision of Prof. Hong Liu in computer applied technology at the School of Electronics and Computer Engineering, Peking University, China, and received my B.Eng. degree (2016) in the College of Mechanical and Electrical Engineering, Central South University, China.

• 🍾2024/09: Our paper "Sharing Key Semantics in Transformer Makes Efficient Image Restoration" has been accepted to NeurIPS2024.
• 🍾2024/09: Our paper "Bringing masked autoencoders explicit contrastive properties for point cloud self-supervised learning" has been accepted to ACCV2024.
• 🍾2024/08: Our paper "A Pure MLP-Mixer-based GAN Framework for Guided Image Translation" has been accepted to PR2024.
• 📌2024/03: I joined INSAIT in Sofia as a visiting Ph.D. student.
• 💥2024/02: We are organizing the NTIRE2024 Efficient Super-Resolution Challenge! Come and join via: NTIRE2024
• 🍾2024/01: Our paper "A survey on 3d skeleton-based action recognition using learning method" has been accepted as oral by CBS2024.
• 🍾2023/11: Our paper "Modiff: Action-conditioned 3d motion generation with denoising diffusion probabilistic models" has been accepted as oral by ICASSP2024.
• 🍾2023/08: Our paper "Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation" has been accepted as oral by BMVC2023.
• 🍾2023/08: Our paper "Cloth Interactive Transformer for Virtual Try-On" has been accepted by ACM ToMM 2023.
• 📌2023/08: I joined the Computer Vision Lab (CVL) of ETH Zürich in Switzerland as a 6-month academic visiting Ph.D. Student.
• 🍾2023/03: Our paper "Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers" has been accepted by CVPR2023.
• 🍾2023/02: Our paper "PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation" has been accepted by ICASSP2023.
• 🍾2022/10: Our paper "Deep Unsupervised Key Frame Extraction for Efficient Video Classification" has been accepted by TOMM2022.
• 🍾2021/10: Our paper "Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation" has been accepted by BMVC2021 as oral.

• 2023/09: I will join the ELLIS Summer School on Large-Scale AI for Research and Industry, in Modena, Italy!
• 2022/07: I joined the ICVSS2022, in Sicily, Italy!
• 2022/07: I joined The first Italian National AI&Society Ph.D. Summer School, in Pisa, Italy.

• Workshop Organizer: SPI(1st) at SWC'24, NTIRE(9th) at CVPR'24
• Conference Reviewer: ACCV, BMVC, CVPR, ECCV, ICCV, 3DV, ICASSP, ICIP, WACV
• Journal Reviewer: TPAMI, TMM, ToMM, Neuricomputting

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