131 citations · 219 across the 17 of their papers we have counts for
16 papers · 1 filter
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao, Tingbo Hou, Yu-Chuan Su +2
An authentic face restoration system is becoming increasingly demanding in many computer vision applications, e.g., image enhancement, video communication, and taking portrait. Mos…
Controllable One-Shot Face Video Synthesis With Semantic Aware Prior
Kangning Liu, Yu-Chuan Su, Wei +3
The one-shot talking-head synthesis task aims to animate a source image to another pose and expression, which is dictated by a driving frame. Recent methods rely on warping the app…
Video Generation Beyond a Single Clip
Hsin-Ping Huang, Yu-Chuan Su, Ming-Hsuan Yang
We tackle the long video generation problem, i.e.~generating videos beyond the output length of video generation models. Due to the computation resource constraints, video generati…
Identity Encoder for Personalized Diffusion
Yu-Chuan Su, Kelvin C. K. Chan, Yandong Li +5
Many applications can benefit from personalized image generation models, including image enhancement, video conferences, just to name a few. Existing works achieved personalization…
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models
Xuhui Jia, Yang Zhao, Kelvin C. K. Chan +6
This paper proposes a method for generating images of customized objects specified by users. The method is based on a general framework that bypasses the lengthy optimization requi…
2.5D Visual Relationship Detection
Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen +8
Visual 2.5D perception involves understanding the semantics and geometry of a scene through reasoning about object relationships with respect to the viewer in an environment. Howev…
Camera View Adjustment Prediction for Improving Image Composition
Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss +4
Image composition plays an important role in the quality of a photo. However, not every camera user possesses the knowledge and expertise required for capturing well-composed photo…
Kernel Transformer Networks for Compact Spherical Convolution
Yu-Chuan Su, Kristen Grauman
Ideally, 360° imagery could inherit the deep convolutional neural networks (CNNs) already trained with great success on perspective projection images. However, existing methods to…
Learning Compressible 360° Video Isomers
Yu-Chuan Su, Kristen Grauman
Standard video encoders developed for conventional narrow field-of-view video are widely applied to 360° video as well, with reasonable results. However, while this approach commit…
Learning Spherical Convolution for Fast Features from 360° Imagery
Yu-Chuan Su, Kristen Grauman
While 360° cameras offer tremendous new possibilities in vision, graphics, and augmented reality, the spherical images they produce make core feature extraction non-trivial. Convol…
Making 360 Video Watchable in 2D: Learning Videography for Click Free Viewing
Yu-Chuan Su, Kristen Grauman
360 video requires human viewers to actively control "where" to look while watching the video. Although it provides a more immersive experience of the visual content, it…
Pano2Vid: Automatic Cinematography for Watching 360 Videos
Yu-Chuan Su, Dinesh Jayaraman, Kristen Grauman
We introduce the novel task of Pano2Vid automatic cinematography in panoramic 360 videos. Given a 360 video, the goal is to direct an imaginary camera to vi…
Detecting Engagement in Egocentric Video
Yu-Chuan Su, Kristen Grauman
In a wearable camera video, we see what the camera wearer sees. While this makes it easy to know roughly what he chose to look at, it does not immediately reveal when he was engage…
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
Yu-Chuan Su, Kristen Grauman
Current approaches for activity recognition often ignore constraints on computational resources: 1) they rely on extensive feature computation to obtain rich descriptors on all fra…
Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network
Yu-Chuan Su, Tzu-Hsuan Chiu, Chun-Yen Yeh +2
Unconstrained video recognition and Deep Convolution Network (DCN) are two active topics in computer vision recently. In this work, we apply DCNs as frame-based recognizers for vid…
Visual-hint Boundary to Segment Algorithm for Image Segmentation
Yu Su, Margaret H. Dunham
Image segmentation has been a very active research topic in image analysis area. Currently, most of the image segmentation algorithms are designed based on the idea that images are…