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Showing papers from University of Trento Show all papers

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NeurIPS 2026California State University, NorU TrentoMPI for Intelligent Systems, TübRepresentation & contrastive learning

PVFormer: Proper Velocity Transformer for Stable and Scalable Hyperbolic Representation Learning

Xianglong Shi, Nicu Sebe, Bernhard Schölkopf, Ziheng Chen

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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57%Worth a look
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NeurIPS 2026U Trento, ItalyU TrentoU Bergamo, ItalyInstruction tuning

DISTMOE: Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning

Mainak Singha, Niccolò Biondi, Elisa Ricci, Subhankar Roy

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026ByteDance Inc.TongjiXiaomi CorporationU Trento Via Calepina n. 14 - 38U Technology SydneyMultimodal reasoning

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Jinghui Lu, Jiayi Guan, Zhijian Huang, Jinlong Li and 36 more

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

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medium 0/10
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57%Worth a look
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NeurIPS 2026Institute of Information EngineeAlibabaVivoAlibaba GroupU TrentoVision-language models

SkillCIR: Intent-Guided Skill Composition for Training-Free Composed Image Retrieval

Yuanmin Tang, Lin Li, Yang Du, Yuan Gao and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
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NeurIPS 2026Singapore University of TechnoloHunanU TrentoPose & motion

GenCOPE: Syn2Real Generalized Category-Level Object Pose Estimation for Robotic Picking

GenCOPE achieves synthetic-to-real generalized category-level object pose estimation via 2D/3D semantic consistency and cross-modality fusion using only global features, outperforming prior methods on REAL275 and Wild6D.

Jian Liu, Wei Sun, Zhenqi Dai, Hui Yang and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
80%Must read
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NeurIPS 2026U LuxemburgU TrentoSnT, University of Luxembourg3D generation

Text-to-CAD Evaluation with CADTests

CADTestBench introduces executable software tests to evaluate text-to-CAD models via geometric and topological requirements, showing test-guided baselines surpass current methods.

Dimitrios Mallis, Marco Wang, Ahmet Karadeniz, Elisa Ricci and 2 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
72%Highly rated
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NeurIPS 2026U TrentoKU LeuvenETH ZurichRepresentation & contrastive learning

Divide et Calibra: Multiclass Local Calibration via Vector Quantization

Divide et Calibra uses vector quantization to learn shared, region-specific multiclass calibration maps that improve local calibration without reducing latent dimensions.

Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
89%Must read
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NeurIPS 2026U TrentoJailbreaks & red teaming

Harnessing Textual Refusal Directions for Multimodal Safety

Textual refusal directions from LLM backbones generalize to multimodal inputs, and MARS improves MLLM safety without multimodal training data.

Moreno D'Incà, Nicu Sebe, Massimiliano Mancini

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5