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Yichen Lu

7 accepted papers

2025

Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization

AAAI 2025technical

Audiovisual Automatic Speech Recognition (AV-ASR) aims to improve speech recognition accuracy by leveraging visual signals. It is particularly challenging in unconstrained real-world scenarios across various domains due to noisy acoustic environments, spontaneous speech, and the uncertain use of vis…

2025

Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection

ICCV 2025poster

Image Copy Detection (ICD) aims to identify manipulated content between image pairs through robust feature representation learning. While self-supervised learning (SSL) has advanced ICD systems, existing view-level contrastive methods struggle with sophisticated edits due to insufficient fine-graine…

Cited by 0SourcePDFScholar
2024

Exploring Speech Recognition, Translation, and Understanding with Discrete Speech Units: A Comparative Study

ICASSP 2024accepted

Speech signals, typically sampled at rates in the tens of thousands per second, contain redundancies, evoking inefficiencies in sequence modeling. High-dimensional speech features such as spectrograms are often used as the input for the subsequent model. However, they can still be redundant. Recent…

Cited by 0SourceScholar
2024

FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model

EMNLP 2024industry

In this study, we aim to explore Multitask Speech Language Model (SpeechLM) efficient inference via token reduction. Unlike other modalities such as vision or text, speech has unique temporal dependencies, making previous efficient inference works on other modalities not directly applicable. Further…

2024

Self-Supervised Video Copy Localization with Regional Token Representation

ECCV 2024poster

"The task of video copy localization aims at finding the start and end timestamps of all copied segments within a pair of untrimmed videos. Recent approaches usually extract frame-level features and generate a frame-to-frame similarity map for the video pair. Learned detectors are used to identify d…

2023

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning

ACL 2023findings

This paper studies speculative reasoning task on real-world knowledge graphs (KG) that contain both false negative issue (i.e., potential true facts being excluded) and false positive issue (i.e., unreliable or outdated facts being included). State-of-the-art methods fall short in the speculative re…