Range Adaptation for 3D Object Detection in LiDAR. - Ze Wang 008; Sihao Ding 002; Ying Li; Minming Zhao; Sohini Roychowdhury; Andreas Wallin; Guillermo Sapiro; Qiang Qiu 001 (ICCV Workshops, 2019)

Towards recovery of conditional vectors from conditional generative adversarial networks. - Sihao Ding 002; Andreas Wallin (Pattern Recognit. Lett., 2019)

Amortized Variational Inference for Road Friction Estimation. - Shuangshuang Chen; Sihao Ding 002; L. Srikar Muppirisetty; Yiannis Karayiannidis; Mårten Björkman (IV, 2020)

Cirrus: A Long-range Bi-pattern LiDAR Dataset. - Ze Wang 008; Sihao Ding 002; Ying Li; Jonas Fenn; Sohini Roychowdhury; Andreas Wallin; Lane Martin; Scott Ryvola; Guillermo Sapiro; Qiang Qiu 001 (ICRA, 2021)

Monte Carlo Filtering Objectives. - Shuangshuang Chen; Sihao Ding 002; Yiannis Karayiannidis; Mårten Björkman (IJCAI, 2021)

Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series. - Shuangshuang Chen; Sihao Ding 002; Yiannis Karayiannidis; Mårten Björkman (CoRR, 2021)

Deformable Radar Polygon: A Lightweight and Predictable Occupancy Representation for Short-range Collision Avoidance. - Xiangyu Gao; Sihao Ding 002; Karl Vanas; Dasari Harshavardhan Reddy; Henrik Söderlund (CoRR, 2022)

Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations. - Shuangshuang Chen; Sihao Ding 002; Yiannis Karayiannidis; Mårten Björkman (ICLR, 2023)

F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving. - Ekta U. Samani; Feng Tao; Dasari Harshavardhan Reddy; Sihao Ding 002; Ashis G. Banerjee (IROS, 2023)