Xianghua Ying
教授
Researches computer vision, pattern recognition, augmented reality and computational imaging.
Xianghua Ying's lab at Peking works on computational imaging & photography, recognition, detection & segmentation and VR, AR & immersive media. 29 papers since 2023, 16 at top venues, mostly AAAI and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 55%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 9 papers2025 · T1 6
- 12 papers2024 · T1 5
- 4 papers2023 · T1 2
T1 venuesOtherVenues: AAAI, CVPR, Expert Systems with Applications, ACM MM, IJCAI
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation11 papers
- Computational imaging & photography0 papers
- VR, AR & immersive media0 papers
- augmented reality0 papers
- augmented0 papers
Paper list
From DBLP.
20264 papers
- IEEE Trans. Multim.Improving Out-of-Distribution Generalization on Point Clouds With Cross-Domain Adversarial Distillation (opens in a new tab)
- CVPR (T1)Monet: Reasoning in Latent Visual Space Beyond Image and Language (opens in a new tab)
- IJCV (T1)MVFormer: Multi-View Point Cloud Transformer for 3D Mechanical Component Recognition (opens in a new tab)
- CVPR (T1)RT-Splatting: Joint Reflection-Transmission Modeling with Gaussian Splatting (opens in a new tab)
20259 papers
- CVPR (T1)Audio-Visual Instance Segmentation (opens in a new tab)
- ICLR (T1)Can In-context Learning Really Generalize to Out-of-distribution Tasks? (opens in a new tab)
- Frontiers Comput. Sci.FPSMix: data augmentation strategy for point cloud classification (opens in a new tab)
- IJCAI (T1)FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting (opens in a new tab)
- Expert Systems with ApplicationsImproving Bird's Eye View based 3D object detection via Learnable Perspective View (opens in a new tab)
- IJCV (T1)Multi-modal Prompt Alignment with Fine-grained LLM Knowledge for Unsupervised Domain Adaptation (opens in a new tab)
- AAAI (T1)Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes (opens in a new tab)
- NeurIPS (T1)OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain (opens in a new tab)
- Expert Systems with ApplicationsSalienTR: A closer look at multi-modal transformer for RGB-T salient object detection (opens in a new tab)
202412 papers
- NeurIPS (T1)Dissecting the Failure of Invariant Learning on Graphs (opens in a new tab)
- IEEE Trans. Multim.Exploiting Temporal Correlations for 3D Human Pose Estimation (opens in a new tab)
- ECCV (T1)Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation (opens in a new tab)
- J. Web Semant.Improving static and temporal knowledge graph embedding using affine transformations of entities (opens in a new tab)
- ACM MMInstance-Level Panoramic Audio-Visual Saliency Detection and Ranking (opens in a new tab)
- ICRA (T1)Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation (opens in a new tab)
- ACM MMOpen-Vocabulary Audio-Visual Semantic Segmentation (opens in a new tab)
- NeurocomputingRectifying self-training with neighborhood consistency and proximity for source-free domain adaptation (opens in a new tab)
- IJCAI (T1)Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods (opens in a new tab)
- Expert Systems with ApplicationsTensor decompositions for temporal knowledge graph completion with time perspective (opens in a new tab)
- IEEE Trans. Multim.UniTR: A Unified TRansformer-Based Framework for Co-Object and Multi-Modal Saliency Detection (opens in a new tab)
- AAAI (T1)VPDETR: End-to-End Vanishing Point DEtection TRansformers (opens in a new tab)
20234 papers
- AAAI (T1)Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation (opens in a new tab)
- AAAI (T1)ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud (opens in a new tab)
- IEEE Robotics Autom. Lett.Employing Latent Categories of Entities for Knowledge Graph Embeddings With Contrastive Learning (opens in a new tab)
- Pattern RecognitionImproving point cloud classification and segmentation via parametric veronese mapping (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNSJTU
Zhihang Zhong
- Video understanding
- CNSJTU
Ping Li
- Recognition, detection & segmentation
- CNPeking
Jian Zhang
- 3D vision & neural rendering
- CNZhejiang
Kun Zhou
- Rendering & appearance
- CNTsinghua
Yansong Tang
- Video understanding
- USUW
Jenq-Neng Hwang
- Recognition, detection & segmentation
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Pekingcloses