DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation. - Gen Li 008; Joongkyu Kim (BMVC, 2019)

DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation. - Gen Li 008; Inyong Yun; Jonghyun Kim; Joongkyu Kim (CoRR, 2019)

Depth-Wise Asymmetric Bottleneck With Point-Wise Aggregation Decoder for Real-Time Semantic Segmentation in Urban Scenes. - Gen Li 008; Shenlu Jiang; Inyong Yun; Jonghyun Kim; Joongkyu Kim (IEEE Access, 2020)

An Optimized Deep Neural Network Detecting Small and Narrow Rectangular Objects in Google Earth Images. - Shenlu Jiang; Wei Yao 008; Man Sing Wong; Gen Li 008; Zhonghua Hong; Tae-Yong Kuc 001; Xiaohua Tong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder. - Jonghyun Kim; Gen Li 008; Cheolkon Jung; Joongkyu Kim (BMVC, 2021)

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. - Gen Li 008; Varun Jampani; Laura Sevilla-Lara; Deqing Sun; Jonghyun Kim; Joongkyu Kim (CVPR, 2021)

Progressive Face Super-Resolution with Non-Parametric Facial Prior Enhancement. - Jonghyun Kim; Gen Li 008; Cheolkon Jung; Joongkyu Kim (ICIP, 2021)

Perspective-Aware Density Regression For Crowd Counting. - Yutong Wang; Gen Li 008; Qi Zhang; Joongkyu Kim; Huifang Li 004 (ICIP, 2021)

Edge and identity preserving network for face super-resolution. - Jonghyun Kim; Gen Li 008; Inyong Yun; Cheolkon Jung; Joongkyu Kim (Neurocomputing, 2021)

Weakly-supervised temporal attention 3D network for human action recognition. - Jonghyun Kim; Gen Li 008; Inyong Yun; Cheolkon Jung; Joongkyu Kim (Pattern Recognit., 2021)

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding. - Gen Li 008; Varun Jampani; Deqing Sun; Laura Sevilla-Lara (CVPR, 2023)

Referenceless User Controllable Semantic Image Synthesis. - Jonghyun Kim; Gen Li 008; Joongkyu Kim (IJCNN, 2023)

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Laura Sevilla-Lara; Shashank Narayana Gowda (CoRR, 2023)

One-Shot Open Affordance Learning with Foundation Models. - Gen Li 008; Deqing Sun; Laura Sevilla-Lara; Varun Jampani (CVPR, 2024)

Watt for What: Rethinking Deep Learning's Energy-Performance Relationship. - Shreyank N. Gowda; Xinyue Hao; Gen Li 008; Shashank Narayana Gowda; Xiaobo Jin; Laura Sevilla-Lara (ECCV Workshops (22), 2024)

Enabling robots to follow abstract instructions and complete complex dynamic tasks. - Ruaridh Mon-Williams; Gen Li 008; Ran Long; Wenqian Du 004; Chris Lucas 001 (CoRR, 2024)

Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. - Gen Li 008; Nikolaos Tsagkas; Jifei Song; Ruaridh Mon-Williams; Sethu Vijayakumar; Kun Shao; Laura Sevilla-Lara (CoRR, 2024)

SpecSAR-Former: A Lightweight Transformer-based Network for Global LULC Mapping Using Integrated Sentinel-1 and Sentinel-2. - Hao Yu; Gen Li 008; Haoyu Liu; Songyan Zhu; Wenquan Dong; Changjian Li (CoRR, 2024)

Principles of Visual Tokens for Efficient Video Understanding. - Xinyue Hao; Gen Li 008; Shreyank N. Gowda; Robert B. Fisher; Jonathan Huang; Anurag Arnab; Laura Sevilla-Lara (CoRR, 2024)

Embodied large language models enable robots to complete complex tasks in unpredictable environments. - Ruaridh Mon-Williams; Gen Li 008; Ran Long; Wenqian Du 001; Christopher G. Lucas (Nat. Mac. Intell., 2025)