Blog(1)

• Learning to Align Temporal Sequences

  Temporal sequences (e.g., videos) are an appealing data source as they provide a rich source of information and additional constraints to leverage in learning. By far the main focus on temporal sequence analysis in computer vision has been on learning representations (i.e., compact abstractions of the input data) targeting high-level distinctions between signals (e.g., action classification, “What action is present in the video?”).

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Publications(27)

• TurboBoA: Faster and Exact Attention-aware Quantization without Backpropagation

  AuthorYeo Jeong Park, Chungman Lee, Ho-young Kim, Joonyoung Kim, Yongkweon Jeon

  PublishedInternational Conference on Learning Representations (ICLR)

  Date2026-04-23

• ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation

  AuthorSherry X. Chen, Yi Wei, Luowei Zhou, Suren Kumar

  PublishedInternational Conference on Computer Vision (ICCV)

  Date2025-07-01

• Augmenting Perceptual Super-Resolution via Image Quality Predictors

  AuthorFengjia Zhang, Samrudhdhi B. Rangrej, Tristan Ty Aumentado-Armstrong, Afsaneh Fazly, Alex Levinshtein

  PublishedComputer Vision and Pattern Recognition (CVPR)

  Date2025-06-11

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News(5)

• [Blog] Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting

  Text-enrolled KWS with phoneme-level deep metric learning and adversarial training. We align acoustic and text embeddings across modalities and achieve SOTA on WSJ & LibriPhrase.

• [Blog] Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting

  Text-enrolled KWS with phoneme-level deep metric learning and adversarial training. We align acoustic and text embeddings across modalities and achieve SOTA on WSJ & LibriPhrase.

• [Blog] Handwriting Enhancement: Recognition-Based and Recognition-Independent Approaches for On-device Online Handwritten Text Alignment

  Handwriting has served as the primary method for information recording over an extensive historical span [1], as its development begins in early education, accompanied by a strong emphasis on writing accuracy.

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