Dilin Wang - RankMe

76 papers A* 21A 5B 1Misc 3Journal 39Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoPartGen: Autogressive 3D Part Generation and Discovery. CoRR Minghao Chen, Jianyuan Wang, Roman Shapovalov, Tom Monnier, Hyunyoung Jung, Dilin Wang, Rakesh Ranjan, Iro Laina, Andrea Vedaldi
2025	J	`jnl`	DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling. CoRR Kairun Wen, Yuzhi Huang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan
2025	A*	`conf`	LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields. CVPR 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	J	`jnl`	LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields. CoRR Zhengqin Li, Dilin Wang, Ka Chen, Zhaoyang Lv, Thu Nguyen-Phuoc, Milim Lee, Jia-Bin Huang, Lei Xiao, Cheng Zhang, Yufeng Zhu, Carl S. Marshall, Yufeng Ren, Richard A. Newcombe, Zhao Dong
2025	A*	`conf`	MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds. CVPR Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander G. Schwing, Zhicheng Yan
2025	A*	`conf`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CVPR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	J	`jnl`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CoRR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	A	`conf`	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. AISTATS Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2025	A*	`conf`	UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping. CVPR Aashish Rai, Dilin Wang, Mihir Jain, Nikolaos Sarafianos, Kefan Chen, Srinath Sridhar, Aayush Prakash
2025	J	`jnl`	UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping. CoRR Aashish Rai, Dilin Wang, Mihir Jain, Nikolaos Sarafianos, Kefan Chen, Srinath Sridhar, Aayush Prakash
2025	J	`jnl`	VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. CoRR Zhiwen Fan, Jian Zhang, Renjie Li, Junge Zhang, Runjin Chen, Hezhen Hu, Kevin Wang, Huaizhi Qu, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Tianlong Chen, Jiachen Li, Zhengzhong Tu, Zhangyang Wang, Rakesh Ranjan
2025	J	`jnl`	VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment. CoRR Wenyan Cong, Kevin Wang, Jiahui Lei, Colton Stearns, Yuanhao Cai, Dilin Wang, Rakesh Ranjan, Matt Feiszli, Leonidas J. Guibas, Zhangyang Wang, Weiyao Wang, Zhiwen Fan
2025	J	`jnl`	WorldGen: From Text to Traversable and Interactive 3D Worlds. CoRR Dilin Wang, Hyunyoung Jung, Tom Monnier, Kihyuk Sohn, Chuhang Zou, Xiaoyu Xiang, Yu-Ying Yeh, Di Liu, Zixuan Huang, Thu Nguyen-Phuoc, Yuchen Fan, Sergiu Oprea, Ziyan Wang, Roman Shapovalov, Nikolaos Sarafianos, Thibault Groueix, Antoine Toisoul, Prithviraj Dhar, Xiao Chu, Minghao Chen, Geon Yeong Park, Mahima Gupta, Yassir Azziz, Rakesh Ranjan, Andrea Vedaldi
2024	J	`jnl`	3D Mesh Editing using Masked LRMs. CoRR Will Gao, Dilin Wang, Yuchen Fan, Aljaz Bozic, Tuur Stuyck, Zhengqin Li, Zhao Dong, Rakesh Ranjan, Nikolaos Sarafianos
2024	A*	`conf`	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CVPR 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	J	`jnl`	MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds. CoRR Zhenggang Tang, Yuchen Fan, Dilin Wang, Hongyu Xu, Rakesh Ranjan, Alexander G. Schwing, Zhicheng Yan
2024	—	`conf`	MVDiffusion++: A Dense High-Resolution Multi-view Diffusion Model for Single or Sparse-View 3D Object Reconstruction. ECCV (16) Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan
2024	J	`jnl`	MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction. CoRR Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan
2024	—	`conf`	Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) 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	—	`conf`	POCA: Post-training Quantization with Temporal Alignment for Codec Avatars. ECCV (40) Jian Meng, Yuecheng Li, Chenghui Li, Syed Shakib Sarwar, Dilin Wang, Jae-sun Seo
2024	—	`conf`	PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. 3DV Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
2024	A*	`conf`	Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. ICML Zhangheng Li, Shiwei Liu, Tianlong Chen, Ajay Kumar Jaiswal, Zhenyu Zhang, Dilin Wang, Raghuraman Krishnamoorthi, Shiyu Chang, Zhangyang Wang
2024	J	`jnl`	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	Misc	`conf`	TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. ICASSP 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	A*	`conf`	Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	J	`jnl`	Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2023	J	`jnl`	Drag View: Generalizable Novel View Synthesis with Unposed Imagery. CoRR Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang
2023	J	`jnl`	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR 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
2023	A*	`conf`	Fast Point Cloud Generation with Straight Flows. CVPR Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
2023	J	`jnl`	Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR 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
2023	J	`jnl`	TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models. CoRR 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
2023	A	`conf`	Temporally Consistent Online Depth Estimation in Dynamic Scenes. WACV Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
2022	J	`jnl`	Fast Point Cloud Generation with Straight Flows. CoRR Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
2022	A*	`conf`	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2022	A*	`conf`	NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
2022	Misc	`conf`	Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2022	J	`jnl`	PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. CoRR Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra
2022	Misc	`conf`	Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. ICASSP Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer
2021	A*	`conf`	AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. CVPR Chengyue Gong, Dilin Wang, Qiang Liu
2021	J	`jnl`	AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
2021	A*	`conf`	AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
2021	A*	`conf`	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
2021	J	`jnl`	Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2021	A*	`conf`	KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2021	J	`jnl`	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2021	J	`jnl`	Noisy Training Improves E2E ASR for the Edge. CoRR Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	J	`jnl`	Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra
2021	J	`jnl`	Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution. CoRR Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer
2021	J	`jnl`	Temporally Consistent Online Depth Estimation in Dynamic Scenes. CoRR Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X. Creighton, Russell H. Taylor, Ganesh Venkatesh, Mathias Unberath
2020	J	`jnl`	AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence. CoRR Chengyue Gong, Dilin Wang, Qiang Liu
2020	J	`jnl`	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
2020	J	`jnl`	KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2019	J	`jnl`	Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu
2019	A*	`conf`	Improving Neural Language Modeling via Adversarial Training. ICML Dilin Wang, Chengyue Gong, Qiang Liu
2019	J	`jnl`	Improving Neural Language Modeling via Adversarial Training. CoRR Dilin Wang, Chengyue Gong, Qiang Liu
2019	A	`conf`	Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. ICCAD Chengyue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan
2019	A*	`conf`	Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models. ICML Dilin Wang, Qiang Liu
2019	A*	`conf`	Splitting Steepest Descent for Growing Neural Architectures. NeurIPS Lemeng Wu, Dilin Wang, Qiang Liu
2019	J	`jnl`	Splitting Steepest Descent for Growing Neural Architectures. CoRR Qiang Liu, Lemeng Wu, Dilin Wang
2019	A*	`conf`	Stein Variational Gradient Descent With Matrix-Valued Kernels. NeurIPS Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
2019	J	`jnl`	Stein Variational Gradient Descent With Matrix-Valued Kernels. CoRR Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu
2018	—	`conf`	An Optimization View on Dynamic Routing Between Capsules. ICLR (Workshop) Dilin Wang, Qiang Liu
2018	A*	`conf`	Stein Variational Gradient Descent as Moment Matching. NeurIPS Qiang Liu, Dilin Wang
2018	J	`jnl`	Stein Variational Gradient Descent as Moment Matching. CoRR Qiang Liu, Dilin Wang
2018	A*	`conf`	Stein Variational Message Passing for Continuous Graphical Models. ICML Dilin Wang, Zhe Zeng, Qiang Liu
2018	A*	`conf`	Variational Inference with Tail-adaptive f-Divergence. NeurIPS Dilin Wang, Hao Liu, Qiang Liu
2018	J	`jnl`	Variational Inference with Tail-adaptive f-Divergence. CoRR Dilin Wang, Hao Liu, Qiang Liu
2017	J	`jnl`	Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE. CoRR Qiang Liu, Dilin Wang
2017	A	`conf`	Learning to Draw Samples with Amortized Stein Variational Gradient Descent. UAI Yihao Feng, Dilin Wang, Qiang Liu
2017	J	`jnl`	Structured Stein Variational Inference for Continuous Graphical Models. CoRR Dilin Wang, Zhe Zeng, Qiang Liu
2016	A	`conf`	Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds. UAI Dilin Wang, John W. Fisher III, Qiang Liu
2016	B	`conf`	Entity Disambiguation by Knowledge and Text Jointly Embedding. CoNLL Wei Fang, Jianwen Zhang, Dilin Wang, Zheng Chen, Ming Li
2016	J	`jnl`	Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning. CoRR Dilin Wang, Qiang Liu
2016	—	`conf`	Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm. NIPS Qiang Liu, Dilin Wang
2016	J	`jnl`	Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm. CoRR Qiang Liu, Dilin Wang
2013	—	`conf`	Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction. ICDM Workshops Dilin Wang, Lei Shi, Jianwen Cao