Associate Professor and Canada CIFAR AI Chair @SFU @AmiiThinks. Ph.D. from @Berkeley_EECS and Bachelor's from @UofTCompSci. Formerly @GoogleAI and @the_IAS.

Vancouver, Canada
Pinned Tweet
Diffusion/flow matching is a go-to generative AI paradigm, but it's slow, sample inefficient and complicated. Do we really need all this complexity? We design a small and simple one-step model, ROMS-IMLE, which attains an FID of 2.56 on ImageNet. Joint w/ @researchirag 1/6
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Congratulations to all!
Happy to see these papers accepted #Neurips2026 🎊 🎊 🎊 Please come and find us at the conference! More details & links in 🧵
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VLA policies are slow and jerky. Introducing IMLE-VLA, which swaps out flow matching for conditional IMLE. IMLE-VLA generates action chunks at 55 Hz (3.67x faster than π0.5), produces >2.2x less jerk and finishes tasks >3.9x faster. Details at kianhk6.github.io/IMLE-VLA/ If you are at #IROS2026, don't miss @kianhk3's talk on Monday at 9am in Room 329. Joint work w/ @kianhk3, Qinhe Peng, @hekoshii, @mehranag, @jianing_qian, @tristanengst, @Moazeni_Alireza and @dineshjayaraman Thread 👇 1/8
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Conditional IMLE (cIMLE) handles multimodal distributions by giving the model the opportunity to generate samples from multiple modes and avoiding penalizing samples from the modes that are different from the mode corresponding to the current observation. 7/8
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Website: kianhk6.github.io/IMLE-VLA/ Paper: arxiv.org/abs/2609.10915 If you are at #IROS2026, check out @kianhk3's talk on Monday at 9am in Room 329 and/or poster 4624 on Monday at 11am in Pod D8 of Exhibit Hall B. Add to your #IROS2026 schedule: 2026.ieee-iros.org/program/p… 8/8
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If you're at #ECCV2026, drop by our poster at ExHall #187. I'd love to walk you through Intrinsic-PAPR!
Editing appearance properties (e.g., colour, shading, albedo, etc.) of 3DGS scenes can yield unexpected results - after editing, the colour may be very off. We found it was caused by misattribution of ray colour to primitives, a side effect of volume rendering. PAPR gets around this by attending to all nearby points, which encourages points to move to the surface. Joint work w/ @Moazeni_Alireza, @PengShichong, @yszhang170 and @researchirag If you are attending #ECCV2026, stop by poster 187 this morning to learn more! Project Website: amoazeni75.github.io/Intrins… Paper: arxiv.org/abs/2407.00500 Code: github.com/amoazeni75/Intrin… Video: piped.video/watch?v=l1wdWTg7…
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Editing appearance properties (e.g., colour, shading, albedo, etc.) of 3DGS scenes can yield unexpected results - after editing, the colour may be very off. We found it was caused by misattribution of ray colour to primitives, a side effect of volume rendering. PAPR gets around this by attending to all nearby points, which encourages points to move to the surface. Joint work w/ @Moazeni_Alireza, @PengShichong, @yszhang170 and @researchirag If you are attending #ECCV2026, stop by poster 187 this morning to learn more! Project Website: amoazeni75.github.io/Intrins… Paper: arxiv.org/abs/2407.00500 Code: github.com/amoazeni75/Intrin… Video: piped.video/watch?v=l1wdWTg7…
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Ke Li 🍁 retweeted
Excited to share another work at ECCV 2026! I’ll be presenting PointGT at #ECCV2026 tomorrow — on Thursday, Sep 10 at 10:30 AM – 12:30 AM poster # 206! Come by if you’re interested in texture or geometry editing in 3D. Would love to chat and hear your thoughts!
Editing texture in 3DGS results in artifacts that become especially pronounced when the geometry changes. Introducing Point-GT, which learns a UV map that adapts automatically to deformations with PAPR. Joint w/ @yszhang170, @hekoshii and @_pratul_. Project Website: zvict.github.io/pointgt/ Paper: arxiv.org/abs/2609.03341 Code: github.com/zvict/pointgt Video: piped.video/watch?v=aHKiGW_o… If you are at #ECCV2026, come check out poster #206 this Thursday morning at 10:30am!
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Editing texture in 3DGS results in artifacts that become especially pronounced when the geometry changes. Introducing Point-GT, which learns a UV map that adapts automatically to deformations with PAPR. Joint w/ @yszhang170, @hekoshii and @_pratul_. Project Website: zvict.github.io/pointgt/ Paper: arxiv.org/abs/2609.03341 Code: github.com/zvict/pointgt Video: piped.video/watch?v=aHKiGW_o… If you are at #ECCV2026, come check out poster #206 this Thursday morning at 10:30am!
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Ke Li 🍁 retweeted
Excited to share our ECCV 2026 work, P-CORE! I’ll be presenting this work at #ECCV2026 — come chat with me on Thu, Sep 10 at 10:30 AM – 12:30 AM poster # 207, if you’re interested in neural rendering, 3D reconstruction, or 3D editing!
While 3D scenes can be rendered from new viewpoints with high fidelity, the rendering quality doesn't survive freeform deformations of the learned 3D representations. Our #ECCV2026 paper, P-CORE, fixes this. Joint work with @yszhang170 @PengShichong @mehranag @Moazeni_Alireza Details at zvict.github.io/p-core/ 1/5
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While 3D scenes can be rendered from new viewpoints with high fidelity, the rendering quality doesn't survive freeform deformations of the learned 3D representations. Our #ECCV2026 paper, P-CORE, fixes this. Joint work with @yszhang170 @PengShichong @mehranag @Moazeni_Alireza Details at zvict.github.io/p-core/ 1/5
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We supervise the interpolation kernel to ensure consistency regardless of whether the deformation comes before or after surface estimation. 4/5
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Our method enables zero-shot freeform geometry edits. Stop by poster #207 at #ECCV2026 on Thursday morning to learn more! Project website: zvict.github.io/p-core/ Paper: arxiv.org/abs/2609.03349 Code: github.com/zvict/p-core 5/5
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