Driving Gaussian_이연규 발표

PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency_최진혁 발표

Test-Time Model Adaptation with Only Forward Passes_황지훈 발표

Learning to Prompt for Continual Learning_손이인 발표

Beyond Imitation: A Life-Long Policy Learning Framework for Path Tracking Control of Autonomous Driving_윤형석발표

Denoising Diffusion Probabilistic Models_김휘창발표

NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping_최진혁발표

Information-theoretic Online Memory Selection for Continual Learning_윤형석발표

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity_정윤재발표

Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs_서민국발표

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation_김휘창발표

Online Continual Learning through Mutual Information Maximization_윤형석발표

Relative representations enablezero-shot latent space communication_서민국발표

Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM_최진혁발표

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis_정윤재발표