Our paper, “Collision Avoidance with Differentiable Occupancy Functions in Object Rearrangement” (R. Satoh et al.) and “Zero-Shot Peg Insertion: Identifying Mating Holes and Estimating SE(2) Poses with Vision-Language Models” (M. Yajima et al.) will be presented in IROS 2025.
投稿者「kawakami」のアーカイブ
3 papers accepted in ICIP 2025.
Our papers, “Implicit object recognition via reinforcement learning in out-of-domain scenarios,” (K. C. Koga et al.) “Teach me sign: stepwise prompting llm for sign language production,” (Z. An et al.) and “A Unified Transformer-Based Framework with Pretraining For Whole Body Grasping Motion Generation,” (E. Effendy et al.) will be presented in ICIP 2025.
2 papers presented in ICASSP 2025.
Our papers “Multi-Point Positional Insertion Tuning for Small Object Detection” (K. Goto et al.) and “Binary Stochastic Flip Optimization for Training Binary Neural Networks” (T. Shibuya et al.) have been presented in ICASSP 2025.
Paper accepted in Information Fusion.
Our paper “Language-guided reasoning segmentation for underwater images” (M. Yao et al.) has been accepted in Information Fusion.
Paper presented in AAAI 2025.
Our paper “Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks” (R. Moriai et al.) was presented in AAAI 2025.
Serving as an AC in MIRU 2025.
Prof. Kawakami will serve as an Area Chair in MIRU 2025.
Paper accepted in IEEE Open Journal of Signal Processing
Our paper “Robustifying Routers Against Input Perturbations for Sparse Mixture-of-Experts Vision Transformers (M. Kada et al.) has been accepted in IEEE Open Journal of Signal Processing.
Serving as an AC in CVPR 2025.
Prof. Kawakami has been serving as an Area Chair in CVPR 2025.
Paper accepted in CV4Smalls Workshop at WACV 2025.
Our paper, “CST: Character State Transformer for Object-Conditioned Human Motion Prediction (K. Tseng et al.)”, has been accepted for presentation at the CV4Smalls Workshop at WACV 2025.
Paper accepted in Advanced Robotics.
Our paper, “A review of deep learning-based approaches to sign language processing (S. Tan et al.)” has been accepted in Advanced Robotics.