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Tieru Wu

6 accepted papers

2026

ViRC: Enhancing Visual Interleaved Mathematical CoT with Reason Chunking

CVPR 2026

CoT has significantly enhanced the reasoning ability of LLMs while it faces challenges when extended to multimodal domains, particularly in mathematical tasks.Existing MLLMs typically perform textual reasoning solely from a single static mathematical image, overlooking dynamic visual acquisition dur

Cited by 0SourcecodeScholar
2025

Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering

ICLR 2025poster

3D sketches are widely used for visually representing the 3D shape and structure of objects or scenes. However, the creation of 3D sketch often requires users to possess professional artistic skills. Existing research efforts primarily focus on enhancing the ability of interactive sketch generation…

2025

FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts

CVPR 2025poster

Controllability plays a crucial role in the practical applications of 3D indoor scene synthesis. Existing works either allow rough language-based control, that is convenient but lacks fine-grained scene customization, or employ graph-based control, which offers better controllability but demands con…

Cited by 0SourcePDFScholar
2024

OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation

NeurIPS 2024poster

Optimization over permutations is typically an NP-hard problem that arises extensively in ranking, matching, tracking, etc. Birkhoff polytope-based relaxation methods have made significant advancements, particularly in penalty-free optimization and probabilistic inference. Relaxation onto the orthog…

Cited by 1SourcePDFScholar
2023

Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships

ICML 2023poster

Out-of-distribution generalization is challenging for non-participating clients of federated learning under distribution shifts. A proven strategy is to explore those invariant relationships between input and target variables, working equally well for non-participating clients. However, learning inv…

Cited by 35SourcePDFScholar