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ORCIDMinsu Kim 0004
Person information
- affiliation: Korea Advanced Institute of Science and Technology (KAIST), Department of Electrical Engineering, Daejeon, South Korea
Other persons with the same name
- Minsu Kim (aka: Min-su Kim, Min-Su Kim) — disambiguation page
- Minsu Kim 0001
![[0000-0002-6514-0018]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6514-0018")
— Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Integrated Vision and Language Laboratory, Daejeon, South Korea (and 1 more) - Minsu Kim 0002 — Samsung Electronics Company Ltd, Network Business, Suwon, South Korea (and 1 more)
- Minsu Kim 0003 — Virginia Tech, Bradley Department of Electrical and Computer Engineering, Arlington, VA, USA
- Minsu Kim 0006 — KAIST, Korea
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2020 – today
- 2025
[c25]Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain:
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. ICLR 2025- [c24]Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park:
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. ISCA 2025: 482-497 - [i25]Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. CoRR abs/2502.06999 (2025) - [i24]Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Solving Bayesian inverse problems with diffusion priors and off-policy RL. CoRR abs/2503.09746 (2025) - [i23]Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen:
Offline Model-Based Optimization: Comprehensive Review. CoRR abs/2503.17286 (2025) - [i22]Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park:
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. CoRR abs/2503.18599 (2025) - [i21]Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Samir Obando-Ceron, Yoshua Bengio, Bhavya Kailkhura:
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training. CoRR abs/2503.18929 (2025) - [i20]Minsu Kim, Jean-Pierre R. Falet, Oliver E. Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio:
Search-Based Correction of Reasoning Chains for Language Models. CoRR abs/2505.11824 (2025) - [i19]Gyubin Lee, Truong Nhat Nguyen Bao, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn:
Adaptive Cyclic Diffusion for Inference Scaling. CoRR abs/2505.14036 (2025) - [i18]Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo:
Self-Evolving Curriculum for LLM Reasoning. CoRR abs/2505.14970 (2025) - 2024
- [j12]Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim:
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. IEEE Micro 44(6): 17-33 (2024) - [j11]Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park:
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. Proc. VLDB Endow. 17(8): 1802-1815 (2024) - [c23]Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park:
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. AAAI 2024: 20265-20273 - [c22]Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. ICLR 2024 - [c21]Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. ICML 2024 - [c20]Jaehong Cho, Minsu Kim, Hyunmin Choi, Guseul Heo, Jongse Park:
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale. IISWC 2024: 15-29 - [c19]Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin:
Improved off-policy training of diffusion samplers. NeurIPS 2024 - [c18]Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Amortizing intractable inference in diffusion models for vision, language, and control. NeurIPS 2024 - [i17]Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin:
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. CoRR abs/2402.05098 (2024) - [i16]Minsu Kim, Sanghyeok Choi, Jiwoo Son, Hyeonah Kim, Jinkyoo Park, Yoshua Bengio:
Ant Colony Sampling with GFlowNets for Combinatorial Optimization. CoRR abs/2403.07041 (2024) - [i15]Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park:
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training. CoRR abs/2403.11472 (2024) - [i14]Seanie Lee, Minsu Kim, Lynn Cherif, David Dobre, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Moksh Jain:
Learning diverse attacks on large language models for robust red-teaming and safety tuning. CoRR abs/2405.18540 (2024) - [i13]Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR abs/2405.20971 (2024) - [i12]Jaehong Cho, Minsu Kim, Hyunmin Choi, Guseul Heo, Jongse Park:
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale. CoRR abs/2408.05499 (2024) - [i11]Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim:
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. CoRR abs/2408.07326 (2024) - [i10]Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng, Jarrid Rector-Brooks, Sungsoo Ahn, Jinkyoo Park, Nikolay Malkin, Yoshua Bengio:
Adaptive teachers for amortized samplers. CoRR abs/2410.01432 (2024) - 2023
- [c17]Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park:
DevFormer: A Symmetric Transformer for Context-Aware Device Placement. ICML 2023: 16541-16566 - [c16]Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park:
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. ICML 2023: 32194-32210 - [c15]Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park:
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. NeurIPS 2023 - [i9]Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park:
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization. CoRR abs/2306.02688 (2023) - [i8]Jiwoo Son, Minsu Kim, Sanghyeok Choi, Jinkyoo Park:
Solving NP-hard Min-max Routing Problems as Sequential Generation with Equity Context. CoRR abs/2306.02689 (2023) - [i7]Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park:
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. CoRR abs/2306.03111 (2023) - [i6]Federico Berto, Chuanbo Hua, Junyoung Park, Minsu Kim, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Joungho Kim, Jinkyoo Park:
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. CoRR abs/2306.17100 (2023) - [i5]Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park:
Local Search GFlowNets. CoRR abs/2310.02710 (2023) - [i4]Minsu Kim, Joohwan Ko, Dinghuai Zhang, Ling Pan, Taeyoung Yun, Woochang Kim, Jinkyoo Park, Yoshua Bengio:
Learning to Scale Logits for Temperature-Conditional GFlowNets. CoRR abs/2310.02823 (2023) - 2022
- [c14]Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. USENIX ATC 2022: 707-722 - [i3]HyunWook Park, Minsu Kim, Seongguk Kim, Keunwoo Kim, Haeyeon Kim, Taein Shin, Keeyoung Son, Boogyo Sim, Subin Kim, Seungtaek Jeong, Chulsoon Hwang, Joungho Kim:
Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM). CoRR abs/2203.15722 (2022) - [i2]Haeyeon Kim, Minsu Kim, Joungho Kim, Jinkyoo Park:
Collaborative Distillation Meta Learning for Simulation Intensive Hardware Design. CoRR abs/2205.13225 (2022) - [i1]Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. CoRR abs/2207.00588 (2022)
2010 – 2019
- 2019
- [c13]Dongku Kang, Minsu Kim, Suchang Jeon, Wontaeck Jung, Jooyong Park, Gyo Soo Choo, Dong-Kyo Shim, Anil Kavala, Seungbum Kim, Kyung-Min Kang, Jiyoung Lee, Kuihan Ko, Hyun Wook Park, ByungJun Min, Changyeon Yu, Sewon Yun, Nahyun Kim, Yeonwook Jung, Sungwhan Seo, Sunghoon Kim, Moo Kyung Lee, Joo-Yong Park, James C. Kim, Young San Cha, Kwangwon Kim, Youngmin Jo, Hyun-Jin Kim, Youngdon Choi, Jindo Byun, Ji-hyun Park, Kiwon Kim, Tae-Hong Kwon, Young-Sun Min, Chiweon Yoon, Youngcho Kim, Dong-Hun Kwak, Eungsuk Lee, Wook-Ghee Hahn, Ki-Sung Kim, Kyungmin Kim, Euisang Yoon, Won-Tae Kim, Inryul Lee, Seunghyun Moon, Jeong-Don Ihm, Dae-Seok Byeon, Ki-Whan Song, Sangjoon Hwang, Kyehyun Kyung:
A 512Gb 3-bit/Cell 3D 6th-Generation V-NAND Flash Memory with 82MB/s Write Throughput and 1.2Gb/s Interface. ISSCC 2019: 216-218 - 2018
- [c12]Seungjae Lee, Chulbum Kim, Minsu Kim, Sung-Min Joe, Joonsuc Jang, Seungbum Kim, Kangbin Lee, Jisu Kim, Jiyoon Park, Hanjun Lee, Min-Seok Kim, Seonyong Lee, SeonGeon Lee, Jinbae Bang, Dongjin Shin, Hwajun Jang, Deokwoo Lee, Nahyun Kim, Jonghoo Jo, Jonghoon Park, Sohyun Park, Youngsik Rho, Yongha Park, Hojoon Kim, Cheon An Lee, Chungho Yu, Young-Sun Min, Moosung Kim, Kyungmin Kim, Seunghyun Moon, Hyun-Jin Kim, Youngdon Choi, YoungHwan Ryu, Jinwon Choi, Minyeong Lee, Jungkwan Kim, Gyo Soo Choo, Jeong-Don Lim, Dae-Seok Byeon, Ki-Whan Song, Ki-Tae Park, Kyehyun Kyung:
A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput. ISSCC 2018: 340-342 - 2016
- [c11]Seungjae Lee, Jin-Yub Lee, Il-Han Park, Jong-Yeol Park, Sung-Won Yun, Minsu Kim, Jong-Hoon Lee, Min-Seok Kim, Kangbin Lee, Taeeun Kim, Byungkyu Cho, Dooho Cho, Sangbum Yun, Jung-No Im, Hyejin Yim, Kyung-Hwa Kang, Suchang Jeon, Sungkyu Jo, Yang-Lo Ahn, Sung-Min Joe, Suyong Kim, Deok-kyun Woo, Jiyoon Park, Hyun Wook Park, Youngmin Kim, Jonghoon Park, Yongsu Choi, Makoto Hirano, Jeong-Don Ihm, Byunghoon Jeong, Seon-Kyoo Lee, Moosung Kim, Hokil Lee, Sungwhan Seo, Hongsoo Jeon, Chan-ho Kim, Hyunggon Kim, Jintae Kim, Yongsik Yim, Hoosung Kim, Dae-Seok Byeon, Hyang-Ja Yang, Ki-Tae Park, Kyehyun Kyung, Jeong-Hyuk Choi:
7.5 A 128Gb 2b/cell NAND flash memory in 14nm technology with tPROG=640µs and 800MB/s I/O rate. ISSCC 2016: 138-139 - 2015
- [j10]Ki-Tae Park, Sangwan Nam, Dae-Han Kim, Pansuk Kwak, Doosub Lee, Yoon-Hee Choi, Myung-Hoon Choi, Dong-Hun Kwak, Doo-Hyun Kim, Minsu Kim, Hyun Wook Park, Sang-Won Shim, Kyung-Min Kang, Sang-Won Park, Kangbin Lee, Hyun-Jun Yoon, Kuihan Ko, Dong-Kyo Shim, Yang-Lo Ahn, Jinho Ryu, Donghyun Kim, Kyunghwa Yun, Joonsoo Kwon, Seunghoon Shin, Dae-Seok Byeon, Kihwan Choi, Jin-Man Han, Kyehyun Kyung, Jeong-Hyuk Choi, Kinam Kim:
Three-Dimensional 128 Gb MLC Vertical nand Flash Memory With 24-WL Stacked Layers and 50 MB/s High-Speed Programming. IEEE J. Solid State Circuits 50(1): 204-213 (2015) - 2014
- [c10]Ki-Tae Park, Jin-Man Han, Dae-Han Kim, Sangwan Nam, Kihwan Choi, Minsu Kim, Pansuk Kwak, Doosub Lee, Yoon-Hee Choi, Kyung-Min Kang, Myung-Hoon Choi, Dong-Hun Kwak, Hyun Wook Park, Sang-Won Shim, Hyun-Jun Yoon, Doo-Hyun Kim, Sang-Won Park, Kangbin Lee, Kuihan Ko, Dong-Kyo Shim, Yang-Lo Ahn, Jeunghwan Park, Jinho Ryu, Donghyun Kim, Kyunghwa Yun, Joonsoo Kwon, Seunghoon Shin, Dongkyu Youn, Won-Tae Kim, Taehyun Kim, Sung-Jun Kim, Sungwhan Seo, Hyunggon Kim, Dae-Seok Byeon, Hyang-Ja Yang, Moosung Kim, Myong-Seok Kim, Jinseon Yeon, Jae-hoon Jang, Han-Soo Kim, Woonkyung Lee, Duheon Song, Sungsoo Lee, Kyehyun Kyung, Jeong-Hyuk Choi:
19.5 Three-dimensional 128Gb MLC vertical NAND Flash-memory with 24-WL stacked layers and 50MB/s high-speed programming. ISSCC 2014: 334-335 - 2011
- [j9]Seungjin Lee, Jinwook Oh, Junyoung Park, Joonsoo Kwon, Minsu Kim, Hoi-Jun Yoo:
A 345 mW Heterogeneous Many-Core Processor With an Intelligent Inference Engine for Robust Object Recognition. IEEE J. Solid State Circuits 46(1): 42-51 (2011) - [j8]Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo:
24-GOPS 4.5-mm2 Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC. IEEE Trans. Neural Networks 22(1): 64-73 (2011) - 2010
- [j7]Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Hoi-Jun Yoo:
A 201.4 GOPS 496 mW Real-Time Multi-Object Recognition Processor With Bio-Inspired Neural Perception Engine. IEEE J. Solid State Circuits 45(1): 32-45 (2010) - [j6]Joo-Young Kim, Junyoung Park, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo:
A 118.4 GB/s Multi-Casting Network-on-Chip With Hierarchical Star-Ring Combined Topology for Real-Time Object Recognition. IEEE J. Solid State Circuits 45(7): 1399-1409 (2010) - [j5]Seungjin Lee, Kwanho Kim, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo:
Familiarity based unified visual attention model for fast and robust object recognition. Pattern Recognit. 43(3): 1116-1128 (2010) - [j4]Joo-Young Kim, Sejong Oh, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo:
An attention controlled multi-core architecture for energy efficient object recognition. Signal Process. Image Commun. 25(5): 363-376 (2010) - [c9]Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, Joo-Young Kim, Hoi-Jun Yoo:
Intelligent NoC with neuro-fuzzy bandwidth regulation for a 51 IP object recognition processor. CICC 2010: 1-4 - [c8]Joonsoo Kwon, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo:
A 22.4 mW competitive fuzzy edge detection processor for volume rendering. ISCAS 2010: 1883-1886 - [c7]Seungjin Lee, Jinwook Oh, Minsu Kim, Junyoung Park, Joonsoo Kwon, Hoi-Jun Yoo:
A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition. ISSCC 2010: 332-333
2000 – 2009
- 2009
- [j3]Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo:
A 125 GOPS 583 mW Network-on-Chip Based Parallel Processor With Bio-Inspired Visual Attention Engine. IEEE J. Solid State Circuits 44(1): 136-147 (2009) - [j2]Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Sejong Oh, Hoi-Jun Yoo:
Real-Time Object Recognition with Neuro-Fuzzy Controlled Workload-Aware Task Pipelining. IEEE Micro 29(6): 28-43 (2009) - [j1]Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Hoi-Jun Yoo:
A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 19(11): 1612-1622 (2009) - [c6]Minsu Kim, Joo-Young Kim, Seungjin Lee, Jinwook Oh, Hoi-Jun Yoo:
A 54GOPS 51.8mW analog-digital mixed mode Neural Perception Engine for fast object detection. CICC 2009: 649-652 - [c5]Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, Jinwook Oh, Hoi-Jun Yoo:
A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor. ESSCIRC 2009: 400-403 - [c4]Joo-Young Kim, Seungjin Lee, Jinwook Oh, Minsu Kim, Hoi-Jun Yoo:
A 60fps 496mW multi-object recognition processor with workload-aware dynamic power management. ISLPED 2009: 365-370 - [c3]Joo-Young Kim, Minsu Kim, Seungjin Lee, Jinwook Oh, Kwanho Kim, Sejong Oh, Jeong-Ho Woo, Donghyun Kim, Hoi-Jun Yoo:
A 201.4GOPS 496mW real-time multi-object recognition processor with bio-inspired neural perception engine. ISSCC 2009: 150-151 - 2008
- [c2]Kwanho Kim, Joo-Young Kim, Seungjin Lee, Minsu Kim, Hoi-Jun Yoo:
A 211 GOPS/W dual-mode real-time object recognition processor with Network-on-Chip. ESSCIRC 2008: 462-465 - [c1]Kwanho Kim, Seungjin Lee, Joo-Young Kim, Minsu Kim, Donghyun Kim, Jeong-Ho Woo, Hoi-Jun Yoo:
A 125GOPS 583mW Network-on-Chip Based Parallel Processor with Bio-inspired Visual-Attention Engine. ISSCC 2008: 308-309
Coauthor Index
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