251 citations · 977 across the 32 of their papers we have counts for
32 papers
Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of SSWP
Jinzuomu Zhong, Yang Li, Hui Huang +6
In expressive and controllable Text-to-Speech (TTS), explicit prosodic features significantly improve the naturalness and controllability of synthesised speech. However, manual pro…
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
Jingyuan Yang, Qirui Huang, Tingting Ding +3
Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to visual stimuli. This is a promising, yet challenging, task in affective computing, which has drawn…
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection
Jie Liu, Zhiba Su, Hui Huang +5
Thanks to recent advancements in end-to-end speech modeling technology, it has become increasingly feasible to imitate and clone a user`s voice. This leads to a significant challen…
UrbanBIS: a Large-scale Benchmark for Fine-grained Urban Building Instance Segmentation
Guoqing Yang, Fuyou Xue, Qi Zhang +3
We present the UrbanBIS benchmark for large-scale 3D urban understanding, supporting practical urban-level semantic and building-level instance segmentation. UrbanBIS comprises six…
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Mengke Li, Yiu-ming Cheung, Yang Lu +3
It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tai…
Consensus-Based Optimization for Saddle Point Problems
Hui Huang, Jinniao Qiu, Konstantin Riedl
In this paper, we propose consensus-based optimization for saddle point problems (CBO-SP), a novel multi-particle metaheuristic derivative-free optimization method capable of prova…
Improved Data Augmentation for Translation Suggestion
Hongxiao Zhang, Siyu Lai, Songming Zhang +4
Translation suggestion (TS) models are used to automatically provide alternative suggestions for incorrect spans in sentences generated by machine translation. This paper introduce…
Learning Reconstructability for Drone Aerial Path Planning
Yilin Liu, Liqiang Lin, Yue Hu +4
We introduce the first learning-based reconstructability predictor to improve view and path planning for large-scale 3D urban scene acquisition using unmanned drones. In contrast t…
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation
Gengxin Liu, Oliver van Kaick, Hui Huang +1
Since the preparation of labeled data for training semantic segmentation networks of point clouds is a time-consuming process, weakly supervised approaches have been introduced to…
Optimal consensus control models on the sphere
Hui Huang, Hansol Park
In this paper, we investigate the consensus models on the sphere with control signals, where both the first and second order systems are considered. We provide the existence of the…
Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao
Qingquan Li, Wenshuai Yu, San Jiang
UAVs have become one of the widely used remote sensing platforms and played a critical role in the construction of smart cities. However, due to the complex environment in urban sc…
Photo-to-Shape Material Transfer for Diverse Structures
Ruizhen Hu, Xiangyu Su, Xiangkai Chen +2
We introduce a method for assigning photorealistic relightable materials to 3D shapes in an automatic manner. Our method takes as input a photo exemplar of a real object and a 3D o…
FEAT: Face Editing with Attention
Xianxu Hou, Linlin Shen, Or Patashnik +2
Employing the latent space of pretrained generators has recently been shown to be an effective means for GAN-based face manipulation. The success of this approach heavily relies on…
Point cloud completion via structured feature maps using a feedback network
Zejia Su, Haibin Huang, Chongyang Ma +2
In this paper, we tackle the challenging problem of point cloud completion from the perspective of feature learning. Our key observation is that to recover the underlying structure…
On the Global Convergence of Particle Swarm Optimization Methods
Hui Huang, Jinniao Qiu, Konstantin Riedl
In this paper we provide a rigorous convergence analysis for the renowned particle swarm optimization method by using tools from stochastic calculus and the analysis of partial dif…
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Xingguang Yan, Liqiang Lin, Niloy J. Mitra +3
We present ShapeFormer, a transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds. The resultant d…
Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset
Liqiang Lin, Yilin Liu, Yue Hu +3
We present UrbanScene3D, a large-scale data platform for research of urban scene perception and reconstruction. UrbanScene3D contains over 128k high-resolution images covering 16 s…
On Learning the Right Attention Point for Feature Enhancement
Liqiang Lin, Pengdi Huang, Chi-Wing Fu +3
We present a novel attention-based mechanism to learn enhanced point features for point cloud processing tasks, e.g., classification and segmentation. Unlike prior works, which wer…
Differentiable Refraction-Tracing for Mesh Reconstruction of Transparent Objects
Jiahui Lyu, Bojian Wu, Dani Lischinski +2
Capturing the 3D geometry of transparent objects is a challenging task, ill-suited for general-purpose scanning and reconstruction techniques, since these cannot handle specular li…
Object Properties Inferring from and Transfer for Human Interaction Motions
Qian Zheng, Weikai Wu, Hanting Pan +3
Humans regularly interact with their surrounding objects. Such interactions often result in strongly correlated motion between humans and the interacting objects. We thus ask: "Is…
Abnormal activity capture from passenger flow of elevator based on unsupervised learning and fine-grained multi-label recognition
Chunhua Jia, Wenhai Yi, Yu Wu +3
We present a work-flow which aims at capturing residents' abnormal activities through the passenger flow of elevator in multi-storey residence buildings. Camera and sensors (hall s…
RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud
Zihao Yan, Ruizhen Hu, Xingguang Yan +4
We introduce RPM-Net, a deep learning-based approach which simultaneously infers movable parts and hallucinates their motions from a single, un-segmented, and possibly partial, 3D…
Graph2Plan: Learning Floorplan Generation from Layout Graphs
Ruizhen Hu, Zeyu Huang, Yuhan Tang +3
We introduce a learning framework for automated floorplan generation which combines generative modeling using deep neural networks and user-in-the-loop designs to enable human user…
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task
Chunhua Jia, Lei Zhang, Hui Huang +3
Multi-label networks with branches are proved to perform well in both accuracy and speed, but lacks flexibility in providing dynamic extension onto new labels due to the low effici…