• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 36 matches

• 2024
• 
  Di-Fan Yi, Qian Liu, Rui-Ting Ma, Bin-Long Wang, Hongbang Liu, Fei Xie, Huan-Bo Feng, Zu-Ke Feng, Yang-Heng Zheng:
  Star-XP: A simulation framework for Polar-2/ low energy X-ray polarization detector. SoftwareX 25: 101626 (2024)
• 
  Difan Jiao, Yilun Liu, Zhenwei Tang, Daniel Matter, Jürgen Pfeffer, Ashton Anderson:
  SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification. ACL (Findings) 2024: 4666-4682
• 
  Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
  SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. CVPR 2024: 8661-8670
• 
  Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa:
  Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation. CVPR 2024: 9222-9231
• 
  Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
  VecFusion: Vector Font Generation with Diffusion. CVPR 2024: 7943-7952
• 
  Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
  NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CVPR 2024: 4589-4597
• 
  Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu:
  Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models. CVPR 2024: 16080-16089
• 
  Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan:
  LRM: Large Reconstruction Model for Single Image to 3D. ICLR 2024
• 
  Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava:
  Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. CoRR abs/2402.14780 (2024)
• 
  Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu:
  VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR abs/2404.12388 (2024)
• 
  Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu:
  Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models. CoRR abs/2405.05252 (2024)
• 
  Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
  NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CoRR abs/2405.15217 (2024)
• 
  Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
  SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. CoRR abs/2406.00195 (2024)
• 2023
• 
  Di-Fan Liu, Yong-Xin Zhang, Wen-Zhuo Dong, Qi-Kun Feng, Shao-Long Zhong, Zhi-Min Dang:
  High-Temperature Polymer Dielectrics Designed Using an Invertible Molecular Graph Generative Model. J. Chem. Inf. Model. 63(24): 7669-7675 (2023)
• 
  Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan:
  LRM: Large Reconstruction Model for Single Image to 3D. CoRR abs/2311.04400 (2023)
• 
  Yilun Liu, Difan Jiao, Ashton Anderson:
  Sparsify-then-Classify: From Internal Neurons of Large Language Models To Efficient Text Classifiers. CoRR abs/2311.15983 (2023)
• 
  Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
  VecFusion: Vector Font Generation with Diffusion. CoRR abs/2312.10540 (2023)
• 2022
• 
  Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
  Neural Shape Parsers for Constructive Solid Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2628-2640 (2022)
• 
  Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
  ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41(4): 74:1-74:12 (2022)
• 
  Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
  Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91
• 
  Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
  ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR abs/2205.12231 (2022)
• 
  Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
  Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (2022)
• 2021
• 
  Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis:
  Neural Strokes: Stylized Line Drawing of 3D Shapes. ICCV 2021: 14184-14193
• 
  Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis:
  Neural Strokes: Stylized Line Drawing of 3D Shapes. CoRR abs/2110.03900 (2021)
• 2020
• 
  Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
  Neural Contours: Learning to Draw Lines From 3D Shapes. CVPR 2020: 5427-5435
• 
  Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech:
  ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. ECCV (7) 2020: 261-276
• 
  Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
  Neural Contours: Learning to Draw Lines from 3D Shapes. CoRR abs/2003.10333 (2020)
• 
  Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech:
  ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR abs/2003.12181 (2020)
• 2019
• 
  Xiaona Liu, Chen Gong, Difan Zou, Zunaira Babar, Zhengyuan Xu, Lajos Hanzo:
  Signal Characterization and Achievable Transmission Rate of VLC Under Receiver Nonlinearity. IEEE Access 7: 137030-137039 (2019)
• 
  Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
  Neural Shape Parsers for Constructive Solid Geometry. CoRR abs/1912.11393 (2019)

skipping 6 more matches