Good Papers

Showing papers from UCAS/EPFL Show all papers

83%Must read
?Must readVote to see the score
NeurIPS 2026Xi'an JiaotongHorizon RoboticsInstitute of automation, ChineseUCAS/EPFLEmbodied agents

AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving

AlignDrive conditions longitudinal planning on the lateral path via anchor-based 1D displacement prediction and safety-critical augmentation, achieving state-of-the-art Bench2Drive results.

Yanhao Wu, Haoyang Zhang, Fei He, Rui Wu and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
80%Must read
?Must readVote to see the score
NeurIPS 2026U Chinese Academy of SciencesJohns HopkinsPekingU the Chinese Academy of ScienceZhejiangVision-language models

dRAE: Representation Autoencoder with Hyper-Spherical Codes

Hyper-spherical quantization decouples semantics from magnitude via angular routing to prevent codebook collapse, enabling scalable discrete representation autoencoders with full codebook usage and high-fidelity reconstruction.

Tianren Ma, Lin Long, Chuyan Chen, Mu Zhang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 10

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026ZhejiangFudanUCAS/EPFLJD Explore AcademyAlibaba GroupAutoregressive generation

Channel-wise Vector Quantization

Channel-wise Vector Quantization replaces patch tokens with channel tokens to achieve full codebook usage and improves reconstruction and text-to-image generation via sequential channel prediction.

Wei Song, Tianhang Wang, Yitong Chen, Zuxuan Wu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 11

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5