Risheek GARREPALLI

BLENDED OUTPUT GENERATION IN GENERATIVE ARTIFICIAL INTELLIGENCE MODELS

BLENDED OUTPUT GENERATION IN GENERATIVE ARTIFICIAL INTELLIGENCE MODELS

LANGUAGE-GROUNDED VEHICLE PATH PLANNING

EFFICIENT DIFFUSION MACHINE LEARNING MODELS

TOKEN POOLING FOR MACHINE LEARNING WITH INCREASED EXPRESSIVITY

DISTILLING DIFFUSION MODELS USING IMITATION LEARNING

SPARSE HIGH RANK ADAPTERS AND THEIR HARDWARE-SOFTWARE CO-DESIGN

FREQUENCY-DOMAIN MACHINE LEARNING MODEL ADAPTERS

DETERMINING ERROR FOR TRAINING COMPUTER-VISION MODELS

DETERMINING ERROR FOR TRAINING COMPUTER-VISION MODELS

SEMANTICS AWARE AUXILIARY REFINEMENT NETWORK

TEXT-GUIDED IMAGE EDITING BY LEARNING GUIDANCE SCALES VIA REINFORCEMENT LEARNING

AVOIDING GENERATIVE MODE COLLAPSE USING GUIDED IMAGE DIFFUSION MACHINE LEARNING MODELS

DEPTH ESTIMATION BASED ON FEATURE RECONSTRUCTION WITH ADAPTIVE MASKING AND MOTION PREDICTION

OCCLUSION-AWARE FORWARD WARPING FOR VIDEO FRAME INTERPOLATION

HARDWARE-AWARE EFFICIENT ARCHITECTURES FOR TEXT-TO-IMAGE DIFFUSION MODELS

TRAINING OBJECTIVES FOR DISTILLING GUIDED DIFFUSION MODELS

CONTROL NEURAL NETWORK INFERENCE AND TRAINING BASED ON DISTILLED GUIDED DIFFUSION MODELS

DISTILLATION FOR GUIDED DIFFUSION MODELS

EFFICIENT DIFFUSION MACHINE LEARNING MODELS

EFFICIENT DIFFUSION MACHINE LEARNING MODELS

UNIFIED SIMULTANEOUS OPTICAL FLOW AND DEPTH ESTIMATION

UPSAMPLING FOR POINT CLOUD FEATURES

TEST-TIME SELF-SUPERVISED GUIDANCE FOR DIFFUSION MODELS

DISPARITY-BASED DEPTH REFINEMENT USING CONFIDENCE INFORMATION AND STEREOSCOPIC DEPTH INFORMATION

MONOCULAR IMAGE DEPTH ESTIMATION WITH ATTENTION

DYNAMIC DELTA TRANSFORMATIONS FOR SEGMENTATION

REGENERATIVE LEARNING TO ENHANCE DENSE PREDICTION

REALISTIC DISTRACTION AND PSEUDO-LABELING REGULARIZATION FOR OPTICAL FLOW ESTIMATION

EFFICIENT COST VOLUME PROCESSING WITHIN ITERATIVE PROCESS

ONLINE TEST TIME ADAPTIVE SEMANTIC SEGMENTATION WITH AUGMENTATION CONSISTENCY

FEATURE CONDITIONED OUTPUT TRANSFORMER FOR GENERALIZABLE SEMANTIC SEGMENTATION

Vectorized bilinear shift for replacing grid sampling in optical flow estimation

PANOPTIC SEGMENTATION WITH PANOPTIC, INSTANCE, AND SEMANTIC RELATIONS