EE837 (Fall 2024): A Vision Check-up for Language Models

(32:57)

EE837 (Fall 2024): GLaMM: Pixel Grounding Large Multimodal Model

(25:)

EE837 (Fall 2024): Make Your LLM Fully Utilize the Context

(25:50)

EE837 (Fall 2024): AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

(37:42)

EE837 (Fall 2024): MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding

(35:17)

EE837 (Fall 2024): Guiding Instruction-based Image Editing via Multimodal Large Language Models

(29:26)

EE837 (Fall 2024): Multimodal Learning without Labeled Multimodal Data: Guarantees and Applications

(48:8)

EE837 (Fall 2024): MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

(27:18)

EE837 (Fall 2023): UniT: Multimodal Multitask Learning with a Unified Transformer

(18:56)

EE837 (Fall 2024): Generative Multimodal Models are In-Context Learners

(24:44)

EE837 (Fall 2024): NExT-GPT: Any-to-Any Multimodal LLM

(25:48)

EE837 (Fall 2024): DreamLLM: Synergistic Multimodal Comprehension and Creation

(34:1econd)

EE837 (Fall 2024): LLM-Grounded Video Diffusion Models

(25:31)

EE837 (Fall 2024): GroundingGPT: Language Enhanced Multi-modal Grounding Model

(35:19)

EE837 (Fall 2024): Compositional Chain-of-Thought Prompting for Large Multimodal Models

(24:3)

EE837 (Fall 2024): Auto-Encoding Morph-Tokens for Multimodal LLM

(42:43)

EE837 (Fall 2024): RegionGPT: Towards Region Understanding Vision Language Model

(30:56)

EE837 (Fall 2023): UNITER: UNiversal Image-TExt Representation Learning

(17:35)