no code implementations • 11 Dec 2023 • Youjia Zhang, Zikai Song, Junqing Yu, Yawei Luo, Wei Yang
We leverage the rendered views from the optimized radiance field as the basis and develop a two-step specialization process of a 2D diffusion model, which is adept at conducting object-specific denoising and generating high-quality multi-view images.
1 code implementation • 27 Nov 2023 • Yuteng Ye, Guanwen Li, Hang Zhou, Cai Jiale, Junqing Yu, Yawei Luo, Zikai Song, Qilong Xing, Youjia Zhang, Wei Yang
A pivotal aspect of our approach is the strategic use of the predicted $x_0$ space by diffusion models within the latent space of diffusion processes.
1 code implementation • 20 Nov 2023 • Zhiyuan Min, Yawei Luo, Wei Yang, Yuesong Wang, Yi Yang
Different from existing methods that consider cross-view and along-epipolar information independently, EVE-NeRF conducts the view-epipolar feature aggregation in an entangled manner by injecting the scene-invariant appearance continuity and geometry consistency priors to the aggregation process.
Ranked #1 on Generalizable Novel View Synthesis on Shiny dataset
no code implementations • 30 Jul 2023 • Wenqing Wang, Kaifeng Gao, Yawei Luo, Tao Jiang, Fei Gao, Jian Shao, Jianwen Sun, Jun Xiao
Video-based scene graph generation (VidSGG) is an approach that aims to represent video content in a dynamic graph by identifying visual entities and their relationships.
no code implementations • 3 Jul 2023 • Gabriel Tjio, Ping Liu, Yawei Luo, Chee Keong Kwoh, Joey Zhou Tianyi
Our workflow generates target-like images using the noisy predictions from the original target domain images.
no code implementations • 24 May 2023 • Feifei Shao, Yawei Luo, Lei Chen, Ping Liu, Wei Yang, Yi Yang, Jun Xiao
In this paper, we conduct a thorough causal analysis to investigate the origins of biased activation.
1 code implementation • 23 Mar 2023 • Wenqing Wang, Yawei Luo, Zhiqing Chen, Tao Jiang, Lei Chen, Yi Yang, Jun Xiao
Specifically, DLL decouples the predicate labels and adopts separate classifiers to learn actional and spatial patterns respectively.
Ranked #1 on Video scene graph generation on ImageNet-VidVRD
1 code implementation • 3 Jan 2023 • Feifei Shao, Yawei Luo, Fei Gao, Yi Yang, Jun Xiao
Previous weakly-supervised object localization (WSOL) methods aim to expand activation map discriminative areas to cover the whole objects, yet neglect two inherent challenges when relying solely on image-level labels.
1 code implementation • CVPR 2023 • Yuesong Wang, Zhaojie Zeng, Tao Guan, Wei Yang, Zhuo Chen, Wenkai Liu, Luoyuan Xu, Yawei Luo
To detect more anchor pixels to ensure better adaptive patch deformation, we propose to evaluate the matching ambiguity of a certain pixel by checking the convergence of the estimated depth as optimization proceeds.
Ranked #6 on Point Clouds on Tanks and Temples
1 code implementation • 16 Apr 2022 • Yulei Lu, Yawei Luo, Li Zhang, Zheyang Li, Yi Yang, Jun Xiao
A thriving trend for domain adaptive segmentation endeavors to generate the high-quality pseudo labels for target domain and retrain the segmentor on them.
1 code implementation • 18 Mar 2022 • Chen Liang, Wenguan Wang, Tianfei Zhou, Jiaxu Miao, Yawei Luo, Yi Yang
We explore the task of language-guided video segmentation (LVS).
Ranked #7 on Referring Expression Segmentation on A2D Sentences
Referring Expression Segmentation Referring Video Object Segmentation +5
no code implementations • 25 Feb 2022 • Feifei Shao, Yawei Luo, Ping Liu, Jie Chen, Yi Yang, Yulei Lu, Jun Xiao
To deploy SSDR-AL in a more practical scenario, we design a noise-aware iterative labeling strategy to confront the "noisy annotation" problem introduced by the previous "dominant labeling" strategy in superpoints.
no code implementations • 28 Nov 2021 • Yang Peng, Ping Liu, Yawei Luo, Pan Zhou, Zichuan Xu, Jingen Liu
Unsupervised domain adaptive person re-identification has received significant attention due to its high practical value.
Domain Adaptive Person Re-Identification Person Re-Identification
no code implementations • 29 Sep 2021 • Chen Liang, Yawei Luo, Yu Wu, Yi Yang
We focus on the problem of segmenting a certain object referred by a natural language sentence in video content, at the core of formulating a pinpoint vision-language relation.
1 code implementation • 1 Jun 2021 • Jian-Wei Zhang, Lei Lv, Yawei Luo, Hao-Zhe Feng, Yi Yang, Wei Chen
The hierarchical features help the model highlight the decision boundary and focus on hard pixels, and the structural information learned from base classes is treated as the prior knowledge for novel classes.
1 code implementation • 31 May 2021 • Yuan Gan, Yawei Luo, Xin Yu, Bang Zhang, Yi Yang
In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots.
1 code implementation • 21 Apr 2021 • Feifei Shao, Yawei Luo, Li Zhang, Lu Ye, Siliang Tang, Yi Yang, Jun Xiao
The recent emerged weakly supervised object localization (WSOL) methods can learn to localize an object in the image only using image-level labels.
no code implementations • 19 Mar 2021 • Chen Liang, Yu Wu, Yawei Luo, Yi Yang
Text-based video segmentation is a challenging task that segments out the natural language referred objects in videos.
Ranked #4 on Referring Expression Segmentation on J-HMDB (Precision@0.9 metric)
no code implementations • 8 Mar 2021 • Qianyu Feng, Yawei Luo, Keyang Luo, Yi Yang
To generalize the model towards a real scenario, we propose to fulfill several aspects: (1) Look: visually incorporate spatial structure from the single view to enhance the expressiveness of representation; (2) Cast: perceptually align the 2D image features to the 3D shape priors with cross-modal semantic contrastive mapping; (3) Mold: reconstruct stereo-shape of target by transforming embeddings into the desired manifold.
1 code implementation • NeurIPS 2020 • Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang
We aim at the problem named One-Shot Unsupervised Domain Adaptation.
domain classification One-shot Unsupervised Domain Adaptation +2
no code implementations • CVPR 2020 • Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu
This paper proposes a Copy and Paste Generative Adversarial Network (CPGAN) to recover authentic high-resolution (HR) face images while compensating for low and non-uniform illumination.
no code implementations • ICCV 2019 • Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang
For unsupervised domain adaptation problems, the strategy of aligning the two domains in latent feature space through adversarial learning has achieved much progress in image classification, but usually fails in semantic segmentation tasks in which the latent representations are overcomplex.
1 code implementation • 26 Sep 2018 • Yawei Luo, Tao Guan, Junqing Yu, Ping Liu, Yi Yang
To capitalize on the information from unlabeled nodes to boost the training for GCN, we propose a novel framework named Self-Ensembling GCN (SEGCN), which marries GCN with Mean Teacher - another powerful model in semi-supervised learning.
Ranked #4 on Node Classification on Cora: fixed 20 node per class
1 code implementation • CVPR 2019 • Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
We consider the problem of unsupervised domain adaptation in semantic segmentation.
Ranked #8 on Semantic Segmentation on DADA-seg
1 code implementation • ECCV 2018 • Yawei Luo, Zhedong Zheng, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
To address the two kinds of inconsistencies, this paper proposes the Macro-Micro Adversarial Net (MMAN).
Ranked #12 on Semantic Segmentation on LIP val