default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChun-Fu Chen 0001
Chun-Fu (Richard) Chen – Chun-Fu Richard Chen
Person information
- affiliation: JPMorgan Chase & Co., USA
- affiliation: IBM T.J. Watson Research Center
- affiliation: National Cheng Kung University, Taiwan
Other persons with the same name
- Chun-Fu Chen 0002 — Columbia University, New York, NY, USA
- Chun-Fu Chen 0003 — National Chiao Tung University, Taiwan
- Chun-Fu Chen 0004 — National Taipei College of Business, Taiwan
- Chun-Fu Chen 0005 — National Chengchi University, Taiwan
- Chun-Fu Chen 0006
![[0009-0009-9100-6005]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0009-9100-6005")
— National Taiwan University of Science and Technology, Taipei, Taiwan
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j12]Chun-Fu Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Model-Agnostic Utility-Preserving Biometric Information Anonymization. Int. J. Inf. Sec. 23(4): 2809-2826 (2024)- 2023
- [j11]El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. Quantum 7: 1191 (2023) - 2019
- [j10]Shaohan Hu, Peng Liu, Chun-Fu (Richard) Chen, Marco Pistoia, Jay M. Gambetta:
Reduction-Based Problem Mapping for Quantum Computing. Computer 52(6): 47-57 (2019) - [j9]Peng Liu, Shaohan Hu, Marco Pistoia, Chun-Fu (Richard) Chen, Jay M. Gambetta:
Stochastic Optimization of Quantum Programs. Computer 52(6): 58-67 (2019) - 2017
- [j8]Gwo Giun Chris Lee, Chun-Fu (Richard) Chen, Ching-Jui Hsiao:
Reconfigurable Parser Architecture Design with Microprogrammed Controller for Multiple Purposes. J. Signal Process. Syst. 88(1): 67-81 (2017) - [j7]Gwo Giun Chris Lee, Chun-Hsi Huang, Chun-Fu (Richard) Chen, Tai-Ping Wang:
Complexity-Aware Gabor Filter Bank Architecture Using Principal Component Analysis. J. Signal Process. Syst. 89(3): 431-444 (2017) - 2016
- [j6]Gwo Giun Chris Lee, Chun-Fu Chen, Shu-Ming Xu, Ching-Jui Hsiao:
High-Throughput Reconfigurable Variable Length Coding Decoder for MPEG-2 and AVC/H.264. J. Signal Process. Syst. 82(1): 27-40 (2016) - [j5]Gwo Giun Lee, Tzu-Chiang Tai, Wei-Chiao Yang, Chun-Fu Chen, Chun-Hsi Huang:
Reconfigurable Interpolation Architecture for Multistandard Video Decoding. J. Signal Process. Syst. 84(2): 251-264 (2016) - 2015
- [j4]Gwo Giun Chris Lee, Chun-Fu Chen, He-Yuan Lin, Ming-Jiun Wang:
3-D Video Generation from Monocular Video Based on Hierarchical Video Segmentation. J. Signal Process. Syst. 81(3): 345-358 (2015) - 2014
- [j3]Gwo Giun Lee, Chun-Fu Chen, Ching-Jui Hsiao, Jui-Che Wu:
Bi-Directional Trajectory Tracking With Variable Block-Size Motion Estimation for Frame Rate Up-Convertor. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(1): 29-42 (2014) - 2013
- [j2]Gwo Giun Lee, Huan-Hsiang Lin, Ming-Rung Tsai, Sin-Yo Chou, Wen-Jeng Lee, Yi-Hua Liao, Chi-Kuang Sun, Chun-Fu Chen:
Automatic Cell Segmentation and Nuclear-to-Cytoplasmic Ratio Analysis for Third Harmonic Generated Microscopy Medical Images. IEEE Trans. Biomed. Circuits Syst. 7(2): 158-168 (2013) - 2012
- [j1]Gwo Giun Lee, He-Yuan Lin, Chun-Fu Chen, Tsung-Yuan Huang:
Quantifying Intrinsic Parallelism Using Linear Algebra for Algorithm/Architecture Coexploration. IEEE Trans. Parallel Distributed Syst. 23(5): 944-957 (2012)
Conference and Workshop Papers
- 2025
- [c49]Eric Lei, Hsiang Hsu, Chun-Fu Chen:
PaLD: Detection of Text Partially Written by Large Language Models. ICLR 2025 - [c48]Renyuan Liu, Yuyang Leng, Kaiyan Liu, Shaohan Hu, Chun-Fu (Richard) Chen, Peijun Zhao, Heechul Yun, Shuochao Yao:
DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training. MobiSys 2025: 196-208 - 2024
- [c47]Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CVPR Workshops 2024: 227-234 - [c46]Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. ICLR 2024 - [c45]Wei-Cheng Huang, Chun-Fu Richard Chen, Hsiang Hsu:
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. ICLR 2024 - [c44]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. ICLR 2024 - [c43]Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher:
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. ICML 2024 - [c42]Renyuan Liu, Yuyang Leng, Shilei Tian, Shaohan Hu, Chun-Fu (Richard) Chen, Shuochao Yao:
DynaSpa: Exploiting Spatial Sparsity for Efficient Dynamic DNN Inference on Devices. SenSys 2024: 422-435 - [c41]Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko:
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV 2024: 946-956 - 2022
- [c40]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CVPR 2022: 5206-5216 - [c39]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c38]Bill Moriarty, Chun-Fu (Richard) Chen, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Utility-Preserving Biometric Information Anonymization. ESORICS (2) 2022: 24-41 - [c37]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. ICLR 2022 - [c36]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
Can an Image Classifier Suffice For Action Recognition? ICLR 2022 - [c35]Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. NeurIPS 2022 - 2021
- [c34]Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 2021: 9294-9302 - [c33]Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR 2021: 6165-6175 - [c32]Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. ICCV 2021: 347-356 - [c31]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [c30]Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. ICCV 2021: 7355-7365 - [c29]Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV 2021: 7556-7565 - [c28]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. ICCV 2021: 8825-8835 - [c27]Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. NeurIPS 2021: 3584-3595 - 2020
- [c26]Marco Pistoia, Peng Liu, Chun-Fu (Richard) Chen, Shaohan Hu, Stephen P. Wood:
Parallelization of Classical Numerical optimization in Quantum Variational Algorithms. ICST 2020: 309-320 - 2019
- [c25]Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. ICLR (Poster) 2019 - [c24]Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. NeurIPS 2019: 2261-2270 - 2018
- [c23]Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis:
NISP: Pruning Networks Using Neuron Importance Score Propagation. CVPR 2018: 9194-9203 - [c22]Shaohan Hu, Peng Liu, Chun-Fu (Richard) Chen, Marco Pistoia:
Automatically solving NP-complete problems on a quantum computer. ICSE (Companion Volume) 2018: 258-259 - [c21]Chun-Fu Chen, Jinwook Oh, Quanfu Fan, Marco Pistoia:
SC-Conv: Sparse-Complementary Convolution for Efficient Model Utilization on CNNs. ISM 2018: 97-100 - 2017
- [c20]Chun-Fu (Richard) Chen, Marco Pistoia, Conglei Shi, Paolo Girolami, Joseph W. Ligman, Yong Wang:
UI X-Ray: Interactive Mobile UI Testing Based on Computer Vision. IUI 2017: 245-255 - 2016
- [c19]Gwo Giun Chris Lee, Shi-Yu Hung, Tai-Ping Wang, Chun-Fu (Richard) Chen, Chi-Kuang Sun, Yi-Hua Liao:
Efficient nuclei segmentation based on spectral graph partitioning. ISCAS 2016: 2723-2726 - [c18]Chun-Fu Chen, Gwo Giun Lee, Vincent Sritapan, Ching-Yung Lin:
Deep Convolutional Neural Network on iOS Mobile Devices. SiPS 2016: 130-135 - 2015
- [c17]Chun-Hsi Huang, Gwo Giun Chris Lee, Chun-Fu (Richard) Chen, Yinglong Xia, Ching-Yung Lin:
Reconfigurable filter bank design via principal component analysis and low rank approximation. GlobalSIP 2015: 473-477 - [c16]Ching-Yung Lin, Danny L. Yeh, Nan Cao, Jui-Hsin Lai, Chun-Fu (Richard) Chen, Conglei Shi, Jie Lu, Jason Crawford, Keith Houck, Yinglong Xia, Wan-Yi Sabrina Lin, Richard B. Hull, Fenno F. Terry Heath III, Piyawadee Sukaviriya, SweeFen Goh:
IBM system G Social Media Solution: Analyze multimedia content, people, and network dynamics in context. ICME Workshops 2015: 1-4 - [c15]Gwo Giun Chris Lee, Zuo-Jheng Huang, Chih-Yuan Chen, Chun-Fu Chen:
Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA. ISCAS 2015: 798-801 - [c14]Jui-Hsin Larry Lai, Chung-Ching Lin, Chun-Fu (Richard) Chen, Ching-Yung Lin:
Multi-modality Mobile Image Recognition Based on Thermal and Visual Cameras. ISM 2015: 477-482 - [c13]Chun-Fu (Richard) Chen, Gwo Giun Chris Lee, Yinglong Xia, W. Sabrina Lin, Toyotaro Suzumura, Ching-Yung Lin:
Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. ISM 2015: 489-494 - 2014
- [c12]Gwo Giun Chris Lee, Bo-Syun Li, Chun-Fu Chen:
Design of view synthesis prediction in 3D-HEVC via algorithmic complexity analysis. ACSSC 2014: 2163-2166 - [c11]Cheng-Syun Cai, Chun-Fu Chen, Gwo Giun Lee, Guan-Liang Lin, Sin-Yo Chou, Ming-Rung Tsai, Yi-Hua Liao, Chi-Kuang Sun:
Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images. ChinaSIP 2014: 465-469 - [c10]Chun-Fu Chen, Gwo Giun Chris Lee, Zheng-Han Yu, Chun-Hsi Huang:
Mapping visual signal processing onto multi-core platform via algorithm/architecture co-exploration. SiPS 2014: 244-249 - [c9]Gwo Giun Chris Lee, Bo-Syun Li, Chun-Fu Chen:
Content-adaptive depth map enhancement based on motion distribution. VCIP 2014: 482-485 - 2013
- [c8]Gwo Giun Chris Lee, Ciao-Siang Siao, Chunhui Cui, Chun-Fu Chen, Yan Huo, Huan-Hsiang Lin:
Depth map enhancement based on Z-displacement of objects. ISCAS 2013: 2361-2364 - [c7]Gwo Giun Lee, Chun-Fu Chen, He-Yuan Lin:
Algorithmic complexity analysis on data transfer rate and data storage for multidimensional signal processing. SiPS 2013: 171-176 - [c6]Ming-Jiun Wang, Chun-Fu Chen, Gwo Giun Lee:
Motion-based depth estimation for 2D-to-3D video conversion. VCIP 2013: 1-6 - 2012
- [c5]Gwo Giun Lee, Shu-Ming Xu, Chun-Fu Chen, Ching-Jui Hsiao:
Architecture of high-throughput context adaptive variable length coding decoder in AVC/H.264. APSIPA 2012: 1-5 - [c4]Gwo Giun Lee, Jhen-Yue Hu, Chun-Fu Chen, Huan-Hsiang Lin:
Gabor feature extraction for electrocardiogram signals. BioCAS 2012: 304-307 - [c3]Huan-Hsiang Lin, Ming-Rung Tsai, Chun-Fu Chen, Szu-Yu Chen, Yi-Hua Liao, Gwo Giun Lee, Chi-Kuang Sun:
Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. ISCAS 2012: 101-104 - [c2]Chun-Fu Chen, Gwo Giun Chris Lee, Jui-Che Wu, Ching-Jui Hsiao, Jun-Yuan Ke:
Variable Block Size Motion Estimator Design for Scan Rate Up-convertor. SiPS 2012: 67-72 - 2011
- [c1]Tsung-Yuan Huang, He-Yuan Lin, Chun-Fu Chen, Gwo Giun Lee:
Reconfigurable inverse transform architecture for multiple purpose video coding. ISCAS 2011: 1223-1226
Informal and Other Publications
- 2025
- [i34]Georgios Papadopoulos, Shaltiel Eloul, Yash Satsangi, Jamie Heredge, Niraj Kumar, Chun-Fu Chen, Marco Pistoia:
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. CoRR abs/2504.12806 (2025) - [i33]Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher:
PASS: Private Attributes Protection with Stochastic Data Substitution. CoRR abs/2506.07308 (2025) - [i32]Renyuan Liu, Yuyang Leng, Kaiyan Liu, Shaohan Hu, Chun-Fu Chen, Peijun Zhao, Heechul Yun, Shuochao Yao:
DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training. CoRR abs/2507.07149 (2025) - 2024
- [i31]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. CoRR abs/2402.00351 (2024) - [i30]Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen:
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation. CoRR abs/2402.00728 (2024) - [i29]Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu:
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning. CoRR abs/2402.04129 (2024) - [i28]Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher:
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective. CoRR abs/2405.14981 (2024) - [i27]Chun-Fu Richard Chen, Bill Moriarty, Shaohan Hu, Sean J. Moran, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
Model-Agnostic Utility-Preserving Biometric Information Anonymization. CoRR abs/2405.15062 (2024) - [i26]Seongmin Lee, Hsiang Hsu, Chun-Fu Chen:
LLM Hallucination Reasoning with Zero-shot Knowledge Test. CoRR abs/2411.09689 (2024) - 2023
- [i25]El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Chun-Fu Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia:
Quantum Deep Hedging. CoRR abs/2303.16585 (2023) - [i24]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR abs/2312.14923 (2023) - 2022
- [i23]Quanfu Fan, Donghyun Kim, Chun-Fu Chen, Stan Sclaroff, Kate Saenko, Sarah Adel Bargal:
Temporal Relevance Analysis for Video Action Models. CoRR abs/2204.11929 (2022) - [i22]Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos:
VALHALLA: Visual Hallucination for Machine Translation. CoRR abs/2206.00100 (2022) - [i21]Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati:
MaSS: Multi-attribute Selective Suppression. CoRR abs/2210.09904 (2022) - [i20]Manel Baradad, Chun-Fu Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola:
Procedural Image Programs for Representation Learning. CoRR abs/2211.16412 (2022) - 2021
- [i19]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko:
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR abs/2103.01435 (2021) - [i18]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris:
A Broad Study on the Transferability of Visual Representations with Contrastive Learning. CoRR abs/2103.13517 (2021) - [i17]Chun-Fu Chen, Quanfu Fan, Rameswar Panda:
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. CoRR abs/2103.14899 (2021) - [i16]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i15]Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris:
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR abs/2105.05165 (2021) - [i14]Chun-Fu Chen, Rameswar Panda, Quanfu Fan:
RegionViT: Regional-to-Local Attention for Vision Transformers. CoRR abs/2106.02689 (2021) - [i13]Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke:
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data. CoRR abs/2106.07807 (2021) - [i12]Quanfu Fan, Chun-Fu Chen, Rameswar Panda:
An Image Classifier Can Suffice For Video Understanding. CoRR abs/2106.14104 (2021) - [i11]Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko:
Dynamic Network Quantization for Efficient Video Inference. CoRR abs/2108.10394 (2021) - [i10]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR abs/2112.00054 (2021) - 2020
- [i9]Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR abs/2006.13314 (2020) - [i8]Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan:
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR abs/2010.11757 (2020) - [i7]Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR abs/2011.10608 (2020) - 2019
- [i6]Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Chun-Fu (Richard) Chen, Steve Wood:
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space. CoRR abs/1910.09694 (2019) - [i5]Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David D. Cox:
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation. CoRR abs/1912.00869 (2019) - 2018
- [i4]Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk:
System G Distributed Graph Database. CoRR abs/1802.03057 (2018) - [i3]Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. CoRR abs/1807.03848 (2018) - [i2]Chun-Fu Chen, Quanfu Fan, Marco Pistoia, Gwo Giun Lee:
Efficient Fusion of Sparse and Complementary Convolutions for Object Recognition and Detection. CoRR abs/1808.02167 (2018) - 2017
- [i1]Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis:
NISP: Pruning Networks using Neuron Importance Score Propagation. CoRR abs/1711.05908 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-10-17 00:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
