102 citations · 176 across the 14 of their papers we have counts for
17 papers
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method
Tianyi Liu, Kejun Wu, Yi Wang +3
The past decade has witnessed great strides in video recovery by specialist technologies, like video inpainting, completion, and error concealment. However, they typically simulate…
Top-Down Framework for Weakly-supervised Grounded Image Captioning
Chen Cai, Suchen Wang, Kim-hui Yap +1
Weakly-supervised grounded image captioning (WSGIC) aims to generate the caption and ground (localize) predicted object words in the input image without using bounding box supervis…
SSN: Stockwell Scattering Network for SAR Image Change Detection
Gong Chen, Yanan Zhao, Yi Wang +1
Recently, synthetic aperture radar (SAR) image change detection has become an interesting yet challenging direction due to the presence of speckle noise. Although both traditional…
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
Wenyang Liu, Yi Wang, Kejun Wu +2
File fragment classification (FFC) on small chunks of memory is essential in memory forensics and Internet security. Existing methods mainly treat file fragments as 1d byte signals…
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
Wenyang Liu, Yi Wang, Kim-Hui Yap +1
In this paper, we study a real-world JPEG image restoration problem with bit errors on the encrypted bitstream. The bit errors bring unpredictable color casts and block shifts on d…
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
Jiacheng Wei, Hao Wang, Jiashi Feng +2
In this paper, we investigate an open research task of generating controllable 3D textured shapes from the given textual descriptions. Previous works either require ground truth ca…
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
Jiacheng Wei, Guosheng Lin, Kim-Hui Yap +2
Semantic segmentation on 3D point clouds is an important task for 3D scene understanding. While dense labeling on 3D data is expensive and time-consuming, only a few works address…
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
Hao Cheng, Kim-Hui Yap, Bihan Wen
Recent image classification algorithms, by learning deep features from large-scale datasets, have achieved significantly better results comparing to the classic feature-based appro…
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler +2
We examine two key questions in GAN training, namely overfitting and mode drop, from an empirical perspective. We show that when stochasticity is removed from the training procedur…
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Jiacheng Wei, Guosheng Lin, Kim-Hui Yap +2
Point clouds provide intrinsic geometric information and surface context for scene understanding. Existing methods for point cloud segmentation require a large amount of fully labe…
AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap
This paper proposes Attribute Attention Network (AANet), a new architecture that integrates person attributes and attribute attention maps into a classification framework to solve…
Semantic Granularity Metric Learning for Visual Search
Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap
Deep metric learning applied to various applications has shown promising results in identification, retrieval and recognition. Existing methods often do not consider different gran…
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
Yasin Yazıcı, Bruno Lecouat, Chuan-Sheng Foo +4
We propose a GAN design which models multiple distributions effectively and discovers their commonalities and particularities. Each data distribution is modeled with a mixture of $…
Interest Point Detection based on Adaptive Ternary Coding
Zhenwei Miao, Kim-Hui Yap, Xudong Jiang
In this paper, an adaptive pixel ternary coding mechanism is proposed and a contrast invariant and noise resistant interest point detector is developed on the basis of this mechani…
DCI: Discriminative and Contrast Invertible Descriptor
Zhenwei Miao, Kim-Hui Yap, Xudong Jiang +2
Local feature descriptors have been widely used in fine-grained visual object search thanks to their robustness in scale and rotation variation and cluttered background. However, t…
The Unusual Effectiveness of Averaging in GAN Training
Yasin Yazıcı, Chuan-Sheng Foo, Stefan Winkler +3
We examine two different techniques for parameter averaging in GAN training. Moving Average (MA) computes the time-average of parameters, whereas Exponential Moving Average (EMA) c…
Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks
Muhammet Bastan, Kim-Hui Yap, Lap-Pui Chau
Idling vehicles waste energy and pollute the environment through exhaust emission. In some countries, idling a vehicle for more than a predefined duration is prohibited and automat…