2 citations · 2 across the 4 of their papers we have counts for
4 papers
IPAD: Industrial Process Anomaly Detection Dataset
Jinfan Liu, Yichao Yan, Junjie Li +5
Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human…
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
Haoran Sun, Lixin Liu, Junjie Li +4
The ability of large language models (LLMs) to follow instructions is crucial to real-world applications. Despite recent advances, several studies have highlighted that LLMs strugg…
SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention
Junjie Li, Yiwei Guo, Xie Chen +1
Zero-shot voice conversion (VC) aims to transfer the source speaker timbre to arbitrary unseen target speaker timbre, while keeping the linguistic content unchanged. Although the v…
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing
Jinggang Chen, Xiaoyang Qu, Junjie Li +3
Out-of-distribution (OOD) detection aims at enhancing standard deep neural networks to distinguish anomalous inputs from original training data. Previous progress has introduced va…