12 citations · 43 across the 12 of their papers we have counts for
12 papers
PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
Jianyuan Wang, Christian Rupprecht, David Novotny
Camera pose estimation is a long-standing computer vision problem that to date often relies on classical methods, such as handcrafted keypoint matching, RANSAC and bundle adjustmen…
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
Weixuan Sun, Jiayi Zhang, Jianyuan Wang +6
Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the hel…
Audio-Visual Segmentation with Semantics
Jinxing Zhou, Xuyang Shen, Jianyuan Wang +8
We propose a new problem called audio-visual segmentation (AVS), in which the goal is to output a pixel-level map of the object(s) that produce sound at the time of the image frame…
Spatial Steerability of GANs via Self-Supervision from Discriminator
Jianyuan Wang, Lalit Bhagat, Ceyuan Yang +4
Generative models make huge progress to the photorealistic image synthesis in recent years. To enable human to steer the image generation process and customize the output, many wor…
Linear Video Transformer with Feature Fixation
Kaiyue Lu, Zexiang Liu, Jianyuan Wang +8
Vision Transformers have achieved impressive performance in video classification, while suffering from the quadratic complexity caused by the Softmax attention mechanism. Some stud…
Audio-Visual Segmentation
Jinxing Zhou, Jianyuan Wang, Jiayi Zhang +7
We propose to explore a new problem called audio-visual segmentation (AVS), in which the goal is to output a pixel-level map of the object(s) that produce sound at the time of the…
Vicinity Vision Transformer
Weixuan Sun, Zhen Qin, Hui Deng +7
Vision transformers have shown great success on numerous computer vision tasks. However, its central component, softmax attention, prohibits vision transformers from scaling up to…
Improving GAN Equilibrium by Raising Spatial Awareness
Jianyuan Wang, Ceyuan Yang, Yinghao Xu +3
The success of Generative Adversarial Networks (GANs) is largely built upon the adversarial training between a generator (G) and a discriminator (D). They are expected to reach a c…
MUNet: Motion Uncertainty-aware Semi-supervised Video Object Segmentation
Jiadai Sun, Yuxin Mao, Yuchao Dai +2
The task of semi-supervised video object segmentation (VOS) has been greatly advanced and state-of-the-art performance has been made by dense matching-based methods. The recent met…
Deep Two-View Structure-from-Motion Revisited
Jianyuan Wang, Yiran Zhong, Yuchao Dai +4
Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM. Existing deep learning-based approaches formulate the problem by either recovering abs…
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang, Yiran Zhong, Yuchao Dai +3
Learning matching costs has been shown to be critical to the success of the state-of-the-art deep stereo matching methods, in which 3D convolutions are applied on a 4D feature volu…
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
Yiran Zhong, Pan Ji, Jianyuan Wang +2
Unsupervised deep learning for optical flow computation has achieved promising results. Most existing deep-net based methods rely on image brightness consistency and local smoothne…