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.

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.

Our paper “Language-guided reasoning segmentation for underwater images” (M. Yao et al.) has been accepted in Information Fusion.  

Our paper “Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks” (R. Moriai et al.) was presented in AAAI 2025.

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.

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.

Our paper, “A review of deep learning-based approaches to sign language processing (S. Tan et al.)” has been accepted in Advanced Robotics.

Our paper, “Few-Shot View Synthesis Based on Geometric and Semantic Consistency (M. Kojima et al.)”, was presented in ICPR 2024.

Our paper “Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection (T. Karasawa et al.)”, “Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields (Y. Sekikawa et al.)”, and “Object Detection Framework Using Multiple Tone Mappings on High-Dynamic-Range Images (T. Watanabe et al.)” will be presented in ICIP 2024.

Our paper “A Simple Fine-Tuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients (M. Tomita et al.)” (oral!) and “Learning Non-Uniform Step Sizes for Neural Network Quantization (S. Gongyo et al.)” were accepted in ACCV 2024.