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20232026
most citedTriplet Attention Transformer for Spatiotemporal Predictive Learning

2 citations · 2 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation

Zhen Wang, Changpeng Wang, Zhe Liu +5

Recent vision-language models (VLMs) have advanced vision-and-language navigation (VLN), enabling models to predict navigation actions from visual observations and language instruc…

cs.CV2026

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

Chenxuan Miao, Yutong Feng, Yi Lu +6

Instruction-based video editing (IVE) is an emerging field with broad applications, yet evaluating editing models remains challenging. Existing benchmarks suffer from two major lim…

cs.CV2026

PanoWorld: Towards Spatial Supersensing in 360 Panorama World

Changpeng Wang, Xin Lin, Junhan Liu +5

Multimodal large laboratory models (MLLMs) still struggle with spatial understanding under the dominant perspective-image paradigm, which inherits the narrow field of view of human…

cs.CV2026

DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms

Zhouzhi Xiong, Zimo Zeng, Yi Chen +3

Deploying high-resolution tiny-object perception on edge platforms requires not only accurate localization, but also selecting a small set of informative patches under compute, tra…

cs.CL2026

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

Yangyang Zhong, Yanmei Gu, Zhengqing Zang +14

Masked Diffusion Language Models (MDLMs) promise parallel token generation and arbitrary-order decoding, yet it remains unclear to what extent current models truly realize these ca…