Dilin Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
13
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. | Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2025 | CVPR | LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields. | Zhengqin Li, Dilin Wang, Ka Chen, Zhaoyang Lv, Thu Nguyen-Phuoc, Milim Lee, Jia-Bin Huang, Lei Xiao, Yufeng Zhu, Carl S. Marshall, Yuheng Ren, Richard A. Newcombe, Zhao Dong |
| 2025 | CVPR | UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping. | Aashish Rai, Dilin Wang, Mihir Jain, Nikolaos Sarafianos, Kefan Chen, Srinath Sridhar, Aayush Prakash |
| 2025 | CVPR | MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds. | Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander G. Schwing, Zhicheng Yan |
| 2025 | CVPR | Steepest Descent Density Control for Compact 3D Gaussian Splatting. | Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan |
| 2025 | ICCV | 3D Mesh Editing Using Masked LRMs. | Will Gao, Dilin Wang, Yuchen Fan, Aljaz Bozic, Tuur Stuyck, Zhengqin Li, Zhao Dong, Rakesh Ranjan, Nikolaos Sarafianos |
| 2024 | ACL | Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. | Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | CVPR | Taming Mode Collapse in Score Distillation for Text-to-3D Generation. | Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra |
| 2024 | CVPR | EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. | Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | ECCV | POCA: Post-training Quantization with Temporal Alignment for Codec Avatars. | Jian Meng, Yuecheng Li, Chenghui Li, Syed Shakib Sarwar, Dilin Wang, Jae-sun Seo |
| 2024 | ECCV | MVDiffusion++: A Dense High-Resolution Multi-view Diffusion Model for Single or Sparse-View 3D Object Reconstruction. | Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan |
| 2024 | ICASSP | TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. | Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra |
| 2024 | ICML | Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. | Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang |
| 2023 | CVPR | Fast Point Cloud Generation with Straight Flows. | Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu |
| 2023 | WACV | Temporally Consistent Online Depth Estimation in Dynamic Scenes. | Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath |
| 2022 | CVPR | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. | Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan |
| 2022 | ICASSP | Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. | Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer |
| 2022 | ICASSP | Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. | Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra |
| 2022 | ICLR | NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. | Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra |
| 2021 | CVPR | AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. | Chengyue Gong, Dilin Wang, Qiang Liu |
| 2021 | CVPR | KeepAugment: A Simple Information-Preserving Data Augmentation Approach. | Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu |
| 2021 | CVPR | AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. | Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra |
| 2021 | ICML | AlphaNet: Improved Training of Supernets with Alpha-Divergence. | Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra |
| 2019 | ICCAD | Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. | ChengYue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan |
| 2019 | ICML | Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models. | Dilin Wang, Qiang Liu |
| 2019 | ICML | Improving Neural Language Modeling via Adversarial Training. | Dilin Wang, ChengYue Gong, Qiang Liu |
| 2018 | ICLR | An Optimization View on Dynamic Routing Between Capsules. | Dilin Wang, Qiang Liu |
| 2018 | ICML | Stein Variational Message Passing for Continuous Graphical Models. | Dilin Wang, Zhe Zeng, Qiang Liu |
| 2017 | UAI | Learning to Draw Samples with Amortized Stein Variational Gradient Descent. | Yihao Feng, Dilin Wang, Qiang Liu |
| 2016 | CoNLL | Entity Disambiguation by Knowledge and Text Jointly Embedding. | Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen, Ming Li |
| 2016 | UAI | Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds. | Dilin Wang, John W. Fisher III, Qiang Liu |
| 2013 | ICDM | Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction. | Dilin Wang, Lei Shi, Jianwen Cao |