Gim Hee Lee
@gimhee_lee
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Associate Professor at the Department of Computer Science, National University of Singapore
Singapore
Joined March 2023
Keynote2: Reconstructing Everything From @Jimantha at Cornell Tech & Google Deepmind Noah Snavely: https://t.co/M2rbca5vGl
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I am looking forward to seeing everyone in Singapore for 3DV 2025 soon!
#3DV2025 is happening in 10 days in Singapore, but we can't wait to give some spoilers for the award!! 8 papers were selected as award candidates, congrats 🥳. The final awards will be announced during the main conference. https://t.co/e8e546AH7B
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One more day before we close the submission for the nectar track! We have received very good responses so far. Don't miss the great opportunity to present your work in-person at 3dv 2025 in Singapore!
The deadline for Nectar Track has been extended to ⏰ Feb 15, 2025!
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We are introducing the Nectar Track in 3DV 2025 to give authors of 3D vision-related papers a more focused platform for sharing their works. Priority will be given to those without a paper at 3DV 2025. Come join us! Hurry up and submit your application!
3DV 2025 - Call for Nectar Track Contributions! Instead of the regular tutorials and workshops, we are calling for two unique sessions: 1) Spotlight on strong papers from recent conferences; 2) Exploration edge track. ⏰Deadline: Jan 15, 2025 Details: https://t.co/f1Oie9ZkzL
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(1/3) Super excited to share my three #ECCV2024 papers with Gim Hee Lee (@gimhee_lee)! The first is "TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly". Project page: https://t.co/1Xp6dwANlO Paper: https://t.co/p83ppCqpBz Code: https://t.co/1RdXmDoMmr
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Thrilled to share my #ECCV2024 work with Gim Hee Lee (@gimhee_lee) on "Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions" tomorrow morning at Poster Session 1 (Poster #248)! Project page: https://t.co/TFq2KwvqrG 🧵[1/4]
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Thanks to the social media and website chairs for doing all the hard work in publicity!
And last but not least... Introduce us, #3DV2025 Social Media and Website Chairs! 🌟 Yuliang Xiu (MPI-IS) https://t.co/VCFRMErNtV 🌟 Songyou Peng (Google DeepMind) https://t.co/JtUbBuYKKk 🌟 Sammy Christen (ETH Zurich) https://t.co/jkEiUNbUnd
https://t.co/kIVOnaa1pY
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I'm thrilled to announce that your outstanding papers, though initially rejected by #ECCV2024, will be reconsidered by @3DVconf
https://t.co/upvFWEFa8p
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FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes Yunsong Wang, Tianxin Huang, Hanlin Chen, @gimhee_lee tl;dr: Low-cost Cross-View Aggregation->adaptive cost volumes+multi-scale; PTF->progressive fusion https://t.co/YBBAebawJj
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📢 The call for papers is now open for 3DV2025! 📝 Submission: Aug 12 📽 Suppl. Mat.: Aug 19 🔗 Details: https://t.co/mMpch0eIzH 📅 Conference: Mar 25-28, 2025 🌟 Don't miss the chance to share your research at #3DV2025 and visit beautiful Singapore #Singapore 🎉
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Very excited about hosting many distinguished researchers for our upcoming @NUSComputing CS Research Week, Jan 10-12, 2024. https://t.co/QxQe1MWaTC The event is public and needs no formal registration.
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NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance Hanlin Chen, Chen Li, @gimhee_lee tl;dr: 3DGS->point cloud->NeuS & NeuS->normals->3DGS https://t.co/eZd1eCpwsf
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Extremely proud that my PhD student Chen Yu (@yu47257737) has been awarded the Google Fellowship 2023 for his works on machine perception and computer vision!
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Check out our work on animating a single in-the-wild image into 3d video with text descriptions!
Excited to share our Animate124! The first work aims to animate a single in-the-wild image into a 3D video through textual motion descriptions. Many thanks to my mentor @xieenze_jr and supervisor @gimhee_lee. Project Page: https://t.co/TXqog2RIOn Arxiv: https://t.co/iEe3XJCrwr
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Check out our paper on generablizable neural 3d reconstruction accepted at NeurIPS 2023!
GNeSF: Generalizable Neural Semantic Fields Hanlin Chen, Chen Li, Mengqi Guo, Zhiwen Yan, @gimhee_lee tl;dr: multi-view image features+semantic maps->inputs; 2D semantic information->soft voting mechanism->semantics for each 3D point https://t.co/kc6rJnnLNe
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Check our work at #ICCV2023 NeRF with noisy event camera under non-uniform motion!
Super excited to share my #ICCV2023 work with Gim Hee Lee (@gimhee_lee) on "Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion"! Project page: https://t.co/YP35o4ASjn Paper: https://t.co/PLtqliQH1q Code: https://t.co/bGCsYWSCBV 🧵[1/N]
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Robust e-NeRF, a novel method to directly and robustly reconstruct NeRFs from moving event cameras under various real-world conditions. Paper: Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion by @wengflow and @gimhee_lee from @NUSingapore Link:
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