Proposes a layered neural representation (ST-NeRF) for editable, high-quality free-viewpoint video of large dynamic scenes using sparse 16 cameras.

Jiakai Zhang, Xinhang Liu, Xinyi Ye et al.

Introduced P3M-10k dataset and P3M-Net for privacy-preserving portrait matting, achieving state-of-the-art results with face-blurred images.

Jizhizi Li, Sihan Ma, Jing Zhang et al.

ViLD employs vision-language knowledge distillation to enable open-vocabulary object detection, achieving 16.1 mask AP_r on LVIS.

Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo et al.

Proposes a method using dense correlation volumes to estimate extreme rotation in RGB image pairs, successfully handling non-overlapping images.

Ruojin Cai, Bharath Hariharan, Noah Snavely et al.

MDETR performs text-conditioned end-to-end detection, pre-trained on 1.3M aligned image-text pairs for open-vocabulary grounding.

Aishwarya Kamath, Mannat Singh, Yann LeCun et al.

Introduces InfographicVQA dataset and evaluates Transformer-based models, revealing significant performance gaps in understanding complex infographics.

Minesh Mathew, Viraj Bagal, Rubèn Pérez Tito et al.

Proposes a deep video matting framework with spatio-temporal feature aggregation, outperforming traditional and deep image methods.

Yanan Sun, Guanzhi Wang, Qiao Gu et al.

Constructed H2O dataset and proposed a graph convolutional network for joint 3D hand-object interaction recognition from RGB images.

Taein Kwon, Bugra Tekin, Jan Stuhmer et al.

FIERY employs end-to-end deep learning to predict multi-modal future trajectories in bird’s-eye view from monocular cameras, outperforming baselines with IoU of 57.8%.

Anthony Hu, Zak Murez, Nikhil Mohan et al.

Introduces Waymo Motion Dataset with 570 hours of multi-agent interaction data, enabling joint prediction models for autonomous driving.

Scott Ettinger, Shuyang Cheng, Benjamin Caine et al.

UNISURF unifies neural implicit surfaces and radiance fields for mask-free multi-view 3D reconstruction, achieving high accuracy.

Michael Oechsle, Songyou Peng, Andreas Geiger

Proposes TransFuser, a Transformer-based multi-modal fusion model, reducing collisions by 76% in urban driving scenarios.

Aditya Prakash, Kashyap Chitta, Andreas Geiger

Introduces CLIPScore, a reference-free metric correlating 74% with human judgments, surpassing CIDEr and SPICE.

Jack Hessel, Ari Holtzman, Maxwell Forbes et al.

GridToPix trains policies in gridworlds with terminal rewards, achieving SPL 0→64 and success 1%→25% in Embodied AI tasks.

Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik et al.

Addresses few-shot image generation overfitting with cross-domain distance consistency loss and anchor strategy.

Utkarsh Ojha, Yijun Li, Jingwan Lu et al.

ReCo introduces regional contrastive learning for semantic segmentation, achieving high performance with only 5 labeled examples per class.

Shikun Liu, Shuaifeng Zhi, Edward Johns et al.

Introduces Point-Voxel Diffusion (PVD), combining diffusion models with point-voxel representation for high-fidelity 3D shape generation and multi-modal completion.

Linqi Zhou, Yilun Du, Jiajun Wu

GPV-1 unifies vision tasks through language-conditioned shared heads, reaching 62.5 VQA and 1.023 CIDEr-D on COCO.

Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi et al.

LoFTR employs Transformer-based dense pixel matching, excelling in low-texture areas without keypoint detection.

Jiaming Sun, Zehong Shen, Yuang Wang et al.

Proposes DietNeRF with semantic consistency loss for high-quality few-shot view synthesis from minimal images.

Ajay Jain, Matthew Tancik, Pieter Abbeel