9 citations · 26 across the 11 of their papers we have counts for
11 papers
Observations of Orbiting Hot Spots around Naked Singularities
Yiqian Chen, Peng Wang, Haitang Yang
Recently, it has been reported that photons can traverse naked singularities in the Janis-Newman-Winicour and Born-Infeld spacetimes when these singularities are appropriately regu…
Gravitational Lensing by Transparent Janis-Newman-Winicour Naked Singularities
Deyou Chen, Yiqian Chen, Peng Wang +2
The Janis-Newman-Winicour (JNW) spacetime can describe a naked singularity with a photon sphere that smoothly transforms into a Schwarzschild black hole. Our analysis reveals that…
LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition
Changxu Cheng, Peng Wang, Cheng Da +2
The diversity in length constitutes a significant characteristic of text. Due to the long-tail distribution of text lengths, most existing methods for scene text recognition (STR)…
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
Jingfan Chen, Yuxi Wang, Pengfei Wang +4
The Class Incremental Semantic Segmentation (CISS) extends the traditional segmentation task by incrementally learning newly added classes. Previous work has introduced generative…
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang +4
The recent contrastive language-image pre-training (CLIP) model has shown great success in a wide range of image-level tasks, revealing remarkable ability for learning powerful vis…
Multi-Granularity Prediction with Learnable Fusion for Scene Text Recognition
Cheng Da, Peng Wang, Cong Yao
Due to the enormous technical challenges and wide range of applications, scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this…
Watch out Venomous Snake Species: A Solution to SnakeCLEF2023
Feiran Hu, Peng Wang, Yangyang Li +6
The SnakeCLEF2023 competition aims to the development of advanced algorithms for snake species identification through the analysis of images and accompanying metadata. This paper p…
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
Can Yaras, Peng Wang, Wei Hu +3
Over the past few years, an extensively studied phenomenon in training deep networks is the implicit bias of gradient descent towards parsimonious solutions. In this work, we inves…
Maximizing Model Generalization for Machine Condition Monitoring with Self-Supervised Learning and Federated Learning
Matthew Russell, Peng Wang
Deep Learning (DL) can diagnose faults and assess machine health from raw condition monitoring data without manually designed statistical features. However, practical manufacturing…
Multi-Granularity Prediction for Scene Text Recognition
Peng Wang, Cheng Da, Cong Yao
Scene text recognition (STR) has been an active research topic in computer vision for years. To tackle this challenging problem, numerous innovative methods have been successively…
Levenshtein OCR
Cheng Da, Peng Wang, Cong Yao
A novel scene text recognizer based on Vision-Language Transformer (VLT) is presented. Inspired by Levenshtein Transformer in the area of NLP, the proposed method (named Levenshtei…