PPaperPicks

Yuki M. Asano

University of Technology Nuremberg, Germany

26 papers at tracked venues · 15 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Auto-Vocabulary Semantic Segmentation
  2. Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs
  3. Elastic ViTs from Pretrained Models without Retraining
  4. Mosic: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning
  5. Near, far: Patch-ordering enhances vision foundation models' scene understanding
  6. Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
  7. Self-supervised Normality Learning and Divergence Vector-Guided Model Merging for Zero-Shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
  8. TULIP: Token-length Upgraded CLIP
  9. TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning
  10. Valid: Variable-Length Input Diffusion for Novel View Synthesis
  11. Federated Learning with a Single Shared Image
  12. Foundation Model or Finetune? Evaluation of Few-Shot Semantic Segmentation for River Pollution
  13. GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
  14. Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
    ICLR 2024 ·
    Shashanka Venkataramanan
  15. Learning to Count Without Annotations
  16. No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
  17. Object-Centric Diffusion for Efficient Video Editing
  18. PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
  19. Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers
  20. Protect Your Score: Contact-Tracing with Differential Privacy Guarantees
  21. Rethinking Image Super-Resolution from Training Data Perspectives
  22. SIGMA: Sinkhorn-Guided Masked Video Modeling
  23. Scaling Backwards: Minimal Synthetic Pre-Training?
  24. SelEx: Self-expertise in Fine-Grained Generalized Category Discovery
  25. Skip-Attention: Improving Vision Transformers by Paying Less Attention
    ICLR 2024 ·
    Shashanka Venkataramanan
  26. VeRA: Vector-based Random Matrix Adaptation