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Combating misinformation in the age of llms: Opportunities and challenges
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …
and public trust. The emergence of large language models (LLMs) has great potential to …
Human action recognition: A taxonomy-based survey, updates, and opportunities
Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …
accurately identify and interpret human actions. One of the most challenging issues for …
Mvbench: A comprehensive multi-modal video understanding benchmark
With the rapid development of Multi-modal Large Language Models (MLLMs) a number of
diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities …
diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities …
Video-chatgpt: Towards detailed video understanding via large vision and language models
Conversation agents fueled by Large Language Models (LLMs) are providing a new way to
interact with visual data. While there have been initial attempts for image-based …
interact with visual data. While there have been initial attempts for image-based …
Scaling vision transformers to 22 billion parameters
The scaling of Transformers has driven breakthrough capabilities for language models. At
present, the largest large language models (LLMs) contain upwards of 100B parameters …
present, the largest large language models (LLMs) contain upwards of 100B parameters …
Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
The exponential growth of large language models (LLMs) has opened up numerous
possibilities for multi-modal AGI systems. However the progress in vision and vision …
possibilities for multi-modal AGI systems. However the progress in vision and vision …
Panda-70m: Captioning 70m videos with multiple cross-modality teachers
The quality of the data and annotation upper-bounds the quality of a downstream model.
While there exist large text corpora and image-text pairs high-quality video-text data is much …
While there exist large text corpora and image-text pairs high-quality video-text data is much …
Videomamba: State space model for efficient video understanding
Addressing the dual challenges of local redundancy and global dependencies in video
understanding, this work innovatively adapts the Mamba to the video domain. The proposed …
understanding, this work innovatively adapts the Mamba to the video domain. The proposed …
Egoschema: A diagnostic benchmark for very long-form video language understanding
We introduce EgoSchema, a very long-form video question-answering dataset, and
benchmark to evaluate long video understanding capabilities of modern vision and …
benchmark to evaluate long video understanding capabilities of modern vision and …