29 citations · 103 across the 15 of their papers we have counts for
15 papers
Dynamic Frame Interpolation in Wavelet Domain
Lingtong Kong, Boyuan Jiang, Donghao Luo +4
Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by em…
High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
Chao Xu, Junwei Zhu, Jiangning Zhang +6
Recently, emotional talking face generation has received considerable attention. However, existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus la…
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer
Haoran Zhou, Yun Cao, Wenqing Chu +4
Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of…
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
Lingtong Kong, Boyuan Jiang, Donghao Luo +5
Prevailing video frame interpolation algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters…
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation
Yifeng Chen, Wenqing Chu, Fangfang Wang +6
Recently, there is growing attention on one-stage panoptic segmentation methods which aim to segment instances and stuff jointly within a fully convolutional pipeline efficiently.…
Solving Inverse Problems with NerfGANs
Giannis Daras, Wen-Sheng Chu, Abhishek Kumar +2
We introduce a novel framework for solving inverse problems using NeRF-style generative models. We are interested in the problem of 3-D scene reconstruction given a single 2-D imag…
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
Yuhan Wang, Xu Chen, Junwei Zhu +7
In this work, we propose a high fidelity face swapping method, called HifiFace, which can well preserve the face shape of the source face and generate photo-realistic results. Unli…
Context-Aware Image Inpainting with Learned Semantic Priors
Wendong Zhang, Junwei Zhu, Ying Tai +5
Recent advances in image inpainting have shown impressive results for generating plausible visual details on rather simple backgrounds. However, for complex scenes, it is still cha…
Adversarial Refinement Network for Human Motion Prediction
Xianjin Chao, Yanrui Bin, Wenqing Chu +6
Human motion prediction aims to predict future 3D skeletal sequences by giving a limited human motion as inputs. Two popular methods, recurrent neural networks and feed-forward dee…
Learning to Caricature via Semantic Shape Transform
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai +4
Caricature is an artistic drawing created to abstract or exaggerate facial features of a person. Rendering visually pleasing caricatures is a difficult task that requires professio…
Correlation Maximized Structural Similarity Loss for Semantic Segmentation
Shuai Zhao, Boxi Wu, Wenqing Chu +2
Most semantic segmentation models treat semantic segmentation as a pixel-wise classification task and use a pixel-wise classification error as their optimization criterions. Howeve…
A Better Way to Attend: Attention with Trees for Video Question Answering
Hongyang Xue, Wenqing Chu, Zhou Zhao +1
We propose a new attention model for video question answering. The main idea of the attention models is to locate on the most informative parts of the visual data. The attention me…
Improving Semantic Segmentation via Dilated Affinity
Boxi Wu, Shuai Zhao, Wenqing Chu +2
Introducing explicit constraints on the structural predictions has been an effective way to improve the performance of semantic segmentation models. Existing methods are mainly bas…
Weakly-supervised Caricature Face Parsing through Domain Adaptation
Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai +2
A caricature is an artistic form of a person's picture in which certain striking characteristics are abstracted or exaggerated in order to create a humor or sarcasm effect. For num…
Deep Feature Based Contextual Model for Object Detection
Wenqing Chu, Deng Cai
Object detection is one of the most active areas in computer vision, which has made significant improvement in recent years. Current state-of-the-art object detection methods mostl…