One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications
Paper • 2606.25621 • Published • 12
Min-Hung Chen
cmhungsteve
AI & ML interests
Multimodal AI, Transfer Learning, Unsupervised Learning, Video Understanding, Vision Transformer, Computer Vision, Deep Learning
Recent Activity
upvoted a paper about 12 hours ago
One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications upvoted a paper 9 days ago
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients upvoted a collection 13 days ago
Cosmos3Organizations
upvoted a paper about 12 hours ago
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papers 21 days ago
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
Paper • 2605.19846 • Published • 3
DVSM: Decoder-only View Synthesis Model Done Right
Paper • 2605.29891 • Published • 2
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
Paper • 2606.06361 • Published • 16
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Article
Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation
nvidia
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papers 5 months ago
Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs
Paper • 2602.01600 • Published • 21
PaperBanana: Automating Academic Illustration for AI Scientists
Paper • 2601.23265 • Published • 229
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Paper • 2506.15681 • Published • 43
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting
Paper • 2512.20927 • Published • 17
OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding
Paper • 2601.09575 • Published • 26
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Paper • 2601.09708 • Published • 56